Explore the complete details of HD Graphics 500, including specs, performance benchmarks
The HD Graphics 500 GPU by Intel. features a Generation 9.0 (2015−2016) architecture. with 96 CUDA cores. and a boost clock of 650 MHz MHz. It offers DDR3L/LPDDR3/LPDDR4 memory with 8 GB GB capacity and a System Shared-bit interface. With a power consumption (TDP) of 10W.
Basic details about the HD Graphics 500, including manufacturer, ranking, and release date.
Title | HD Graphics 500 |
---|---|
Manufacturer | Intel |
Ranking | 1195 |
Popularity Rank | not in top-100 |
Architecture | Generation 9.0 (2015−2016) |
GPU code name | Apollo Lake GT1 |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 1 September 2015 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of HD Graphics 500.
Core Clock Speed | 200 MHz |
---|---|
Boost Clock Speed | 650 MHz |
Floating Point Processing Power | 0.1248 TFLOPS |
No of Transistors | 189 million |
CUDA Cores | 96 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 7.800 |
ROPs | 2 |
Available display connectors and API compatibility for enhanced performance.
Interface | Ring Bus |
---|---|
Display Connectors | Portable Device Dependent |
HDMI | N/A |
DirectX | N/A |
Shader Model | N/A |
OpenGL | N/A |
OpenCL | N/A |
Vulkan | N/A |
CUDA | N/A |
DLSS | N/A |
TMUs | 12 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | DDR3L/LPDDR3/LPDDR4 |
---|---|
Maximum RAM | 8 GB |
Memory Bus Width | System Shared |
Memory Clock Speed | System Shared |
Memory Bandwidth | N/A GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 10 W |
---|---|
Power Efficiency | 9.01 |
Manufacturing Process | 14 nm |
Supplementary Power Connectors | N/A |
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.