Gadgetviza » Processors Comparisons » Intel Core Ultra 7 155H -vs- Intel Core Ultra 7 165U
Intel Core Ultra 7 155H -vs- Intel Core Ultra 7 165U
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Specs comparison between Intel Core Ultra 7 155H and Intel Core Ultra 7 165U
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Name | Intel Core Ultra 7 155H | Intel Core Ultra 7 165U |
Code Name?An internal name used by the manufacturer during the development of a processor architecture. It often indicates the generation or specific design of the processor. | Intel Meteor Lake-H | Intel Meteor Lake-H |
Series?The marketing name given to a specific family of processors within a brand's lineup, such as Intel Core i7 or AMD Ryzen 5. Series names help categorize processors based on performance and target market. | Intel Core Ultra Series 1 | Intel Core Ultra Series 1 |
Model Name?The marketing name given to a specific family of CPUs within a brand's lineup, such as 'Intel Ultra 5' or 'Intel Ultra 7'. Model names help categorize CPUs based on performance and target market. | Intel Core Ultra 7 | Intel Core Ultra 7 |
Instruction set?The set of commands that a processor understands and can execute. Different instruction sets support varying levels of performance and compatibility with software. | X86 | X86 |
Launch Date | 12/2023 | 12/2023 |
Vertical?The intended market segment or use case for the processor, such as desktop, laptop, server, or embedded systems. It indicates the processor's design and features tailored for specific applications. | Laptop | Laptop |
CPU | ||
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Total No. of Core?The total number of physical processing units within the processor. More cores allow the processor to handle multiple tasks simultaneously, enhancing multitasking performance. | 16 | 12 |
No. of P-Cores?The number of Performance cores (P-cores) within the processor. P-cores are designed for high-performance tasks and demanding applications. | 6 | 2 |
P-core Base Frequency?The standard operating speed of the Performance cores (P-cores), measured in gigahertz (GHz). It indicates the P-cores' baseline performance level. | 1.4 GHz | 1.7 GHz |
P-Cores Boost Frequency?The maximum speed a P-core can reach under heavy load, measured in gigahertz (GHz). It represents the P-cores' peak performance capability. | 4.8 Ghz | 4.9 Ghz |
No. of Ecore?The number of Efficiency cores (E-cores) within the processor. E-cores are designed for power efficiency and handling background tasks. | 8 | 8 |
Ecore Base Frequency?The standard operating speed of the E-cores, measured in gigahertz (GHz). It indicates the E-cores' baseline performance level. | 0.9 GHz | 1.2 GHz |
ECores Boost Frequency?The maximum speed an E-core can reach under heavy load, measured in gigahertz (GHz). It represents the E-cores' peak performance capability. | 3.8 GHz | 3.8 GHz |
No of LE-Cores?The number of Low Energy cores (LE-cores) within the processor. LE-cores are designed for very low power consumption and handling extremely light tasks. | 2 | 2 |
LE-Cores Base Frequency?The standard operating speed of the LE-cores, measured in gigahertz (GHz). It indicates the LE-cores' baseline performance level. | 0.7 GHz | 0.7 GHz |
LE-Cores Boost Frequency?The maximum speed an LE-core can reach under heavy load, measured in gigahertz (GHz). It represents the LE-cores' peak performance capability. | 2.5 GHz | 2.1 GHz |
No. of Threads?The number of virtual processing units a core can handle simultaneously. Threads enable a single core to process multiple instruction streams, enhancing efficiency. | 22 | 14 |
L1 Cache?The smallest and fastest cache memory level, located closest to the processor cores. It stores frequently accessed data for rapid retrieval. | 112 KB (per core) | 112 KB (per core) |
L2 Cache?A mid-level cache memory that provides a larger storage capacity than L1 cache. It stores data that is less frequently accessed than L1 but more frequently than L3. | 2 MB (per core) | 2 MB (per core) |
L3 Cache?The largest and slowest cache memory level shared by all processor cores. It stores data that is less frequently accessed than L2 but still needed for efficient operation. | 24 MB (shared) | 12 MB (shared) |
L1 Cache(E-core)?The L1 cache memory dedicated to the Efficiency cores (E-cores). It stores frequently accessed data for rapid retrieval by the E-cores. | 96 KB (per core) | 96 KB (per core) |
L2 Cache(E-core)?The L2 cache memory dedicated to the Efficiency cores (E-cores). It provides a larger storage capacity than the E-cores' L1 cache. | 2 MB (per module) | 2 MB (per module) |
Multiplier?A factor that determines the processor's clock speed by multiplying the base clock frequency. It influences the overall operating speed of the processor. | 38x | 17x |
Unlocked Multiplier?Indicates that the processor's multiplier can be adjusted, allowing for overclocking to increase performance beyond the default specifications. | No | No |
Package | ||
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Technology?The process used to create the processor, measured in nanometers (nm). Smaller manufacturing processes typically result in more efficient and powerful processors. | 7 nm | 7 nm |
Base Power Consumption?The typical power consumption of the processor under normal operating conditions, measured in Watts (W). It indicates the processor's energy efficiency. | 28 watt | 15 watt |
Max. Power Consumption?The maximum amount of power the processor can consume under heavy load, measured in Watts (W). It represents the processor's peak power usage. | 115 watt | 57 watt |
Socket?The physical interface on the motherboard where the processor is installed. The socket type determines compatibility between the processor and motherboard. | FCBGA2049 | FCBGA2049 |
Max. Temperature?The maximum safe operating temperature for the processor, measured in degrees Celsius (°C). Exceeding this temperature can lead to performance degradation or damage. | 110°C | 110°C |
IGPU | ||
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IGPU Name?The specific name given to the integrated Graphics Processing Unit (IGPU) by the processor manufacturer. It identifies the IGPU's architecture and capabilities. | Intel Arc graphics | Intel Graphics |
Base Frequency?The standard operating speed of the IGPU, measured in megahertz (MHz). It indicates the IGPU's baseline graphics processing power. | 300 MHz | 300 MHz |
Boost Frequency?The maximum speed the IGPU can reach under heavy graphics load, measured in megahertz (MHz). It represents the IGPU's peak graphics performance. | 2.25 GHz | 2 GHz |
Shading Units?The number of processing units within the IGPU responsible for rendering graphics. More shading units generally result in better graphics performance. | 1024 | 512 |
TMUs?Texture Mapping Units (TMUs) are processing units within the IGPU that apply textures to 3D surfaces. More TMUs improve the realism and detail of rendered graphics. | 64 | 32 |
ROPs?Render Output Units (ROPs) are processing units within the IGPU that handle the final stage of rendering, converting pixel data into an image. More ROPs improve the frame rate and image quality. | 32 | 16 |
Execution Units?The number of parallel processing cores within the IGPU. These units execute graphics instructions, and a higher number typically indicates better graphics performance. | 128 | 64 |
IGPU Perfomance?The overall graphics processing capability of the integrated GPU. This is measured by how well it can handle graphical tasks, such as video playback and light gaming. | 4.61 TFLOPS | 2.05 TFLOPS |
NPU | ||
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NPU Name?The specific name given to the Neural Processing Unit (NPU) by the processor manufacturer. It identifies the NPU's architecture and AI processing capabilities. | Intel AI Boost | Intel AI Boost |
NPU TOPS?The processing power of the NPU, measured by how fast it can perform AI and machine learning operations. Higher NPU performance leads to faster AI-powered features. | 11 Tops | 11 Tops |
Display & Memory Support | ||
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Memory Support?The types and speeds of RAM that the processor is compatible with. It specifies the maximum amount and speed of RAM that can be used with the processor. | Up to LPDDR5/x 7467 MT/s Up to DDR5 5600 MT/s | Up to LPDDR5/x 7467 MT/s Up to DDR5 5600 MT/s |
Max. Display Resolution Support?The highest resolution that the processor's integrated graphics or the processor in conjunction with a dedicated GPU can output to a display. It indicates the maximum visual fidelity the processor can support. | 7680 x 4320 @ 60Hz | 7680 x 4320 @ 60Hz |
Features | PCIe 5, Thr. Director, DL Boost, AI Boost, vPro Ess., MMX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AES, AVX, AVX2, AVX-VNNI, FMA3, SHA | PCIe 4, Thr. Director, DL Boost, AI Boost, vPro Enterp., RPE, MMX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AES, AVX, AVX2, AVX-VNNI, FMA3, SHA |
Features | Intel | Intel |
“`html Target Architecture Deep Dive System Overview The target architecture leverages a distributed system design, focusing on scalability, fault tolerance, and high availability. Key components interact via well-defined APIs, enabling modularity and independent scaling. Core Components: API Gateway: Entry point for all external requests. Responsible for request routing, authentication, and rate limiting. Focus: Secure and efficient traffic management. Service Discovery & Registry: Enables services to locate and communicate with each other dynamically. Essential for handling service health and changes. Focus: Dynamic service location and failover. Microservices: Independent, deployable units of functionality. Each service owns a specific responsibility (e.g., user management, product catalog, order processing). Focus: Code maintainability, independent scaling. Database Layer: Composed of both relational (e.g., PostgreSQL) and NoSQL databases (e.g., Cassandra, MongoDB), selected based on the data requirements of each service. Focus: Optimized data storage and retrieval. Message Queue: Enables asynchronous communication between services and handles event-driven interactions. Message queues (e.g., Kafka, RabbitMQ) are used extensively. Focus: decoupling and asynchronous processing. Caching Layer: Implements in-memory caching (e.g., Redis, Memcached) to improve performance by reducing database load and response times. Focus: Performance optimization; reducing latency. Key Technology Stack Highlights: Programming Languages: Primarily Java (Spring Boot), Python (Flask/Django), and potentially Node.js. Justification: Robust ecosystems; strong tooling. Containerization & Orchestration: Docker and Kubernetes for packaging, deploying, and managing microservices. Rationale: Automation; resource optimization. Database Technologies: Choice of database technology contingent on service need but includes relational and NoSQL. Justification : Performance gains based on workload. API Protocols: RESTful APIs with JSON payloads, gRPC for internal service-to-service communication (consider benefits). Rationale: Standardization & performance. Scalability & Performance Considerations Horizontal scaling is the primary mechanism for handling increased load. Each microservice is designed to be stateless (or with session management handled externally) to facilitate scaling up or down as needed based on real-time load metrics. Load Balancing & Autoscaling: Automated Scaling: Services are deployed to Kubernetes, which provides autoscaling capabilities to automatically adjust the number of service instances based on CPU utilization, memory usage, and other metrics. Target: Optimize resource allocation. Load Balancers: Traffic is directed to service instances using load balancers (e.g., Kubernetes Ingress Controllers, cloud provider-specific load balancers). Target: Distribute traffic evenly. Caching Strategies: Implementation of client-side and server-side caching, incorporating techniques such as: Content Delivery Network (CDN): Caching static assets (images, CSS, JavaScript) close to users. Target: Decrease latency. Object Caching: Used to store frequently accessed data or computationally expensive results. Optimizations: Consider cache invalidation strategies (e.g., time-based, activity-based). Target: reduce database load and API latency. Fault Tolerance & Reliability Fault tolerance is built into the architecture at multiple levels to mitigate failures and maintain service availability. Redundancy & Failover: Service Redundancy: Multiple instances of each microservice are deployed across different availability zones to ensure that a failure in one zone does not impact availability. Target: High availability and disaster recovery. Database Replication: Databases are configured with replication to provide data redundancy and enable failover in case of database failures. Target: Data Integrity. Circuit Breakers: Implemented to isolate failing services. Circuit breakers prevent cascading failures by automatically blocking requests to services that are experiencing issues. Consider observability implementation. Target: Isolation and resilience. Monitoring & Alerting: Comprehensive Monitoring: Metrics and logs are collected continuously from all services to track performance, identify issues, and alert operators. Tooling: Integrate with a centralized logging and monitoring system (e.g., Prometheus, Grafana, ELK stack) . Target: Early identification of issues. Alerting Rules: Rules will be defined to trigger immediate alerts when critical thresholds are breached. Target: Pro-active issue resolution. “`
Laptops with Intel Core Ultra 7 155H and Intel Core Ultra 7 165U


