Explore the complete details of Radeon HD 8690M, including specs, performance benchmarks
The Radeon HD 8690M GPU by AMD. features a GCN 1.0 (2012−2020) architecture. with 320 CUDA cores. and a boost clock of 825 MHz MHz. It offers GDDR5 memory with 1 GB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 32 GB/s GB/s. it supports DirectX 12 (11_1), Vulkan 1.2.131 for enhanced performance.
Basic details about the Radeon HD 8690M, including manufacturer, ranking, and release date.
Title | Radeon HD 8690M |
---|---|
Manufacturer | AMD |
Ranking | 873 |
Popularity Rank | not in top-100 |
Architecture | GCN 1.0 (2012−2020) |
GPU code name | Sun |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 1 March 2013 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Radeon HD 8690M.
Core Clock Speed | 775 MHz |
---|---|
Boost Clock Speed | 825 MHz |
Floating Point Processing Power | 0.528 TFLOPS |
No of Transistors | 690 million |
CUDA Cores | 320 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 16.50 |
ROPs | 8 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x8 |
---|---|
Display Connectors | No outputs |
HDMI | N/A |
DirectX | 12 (11_1) |
Shader Model | 5.1 |
OpenGL | 4.6 |
OpenCL | 1.2 |
Vulkan | 1.2.131 |
CUDA | N/A |
DLSS | N/A |
TMUs | 20 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 1 GB |
Memory Bus Width | 64 Bit |
Memory Clock Speed | 1000 MHz |
Memory Bandwidth | 32 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | N/A W |
---|---|
Power Efficiency | N/A |
Manufacturing Process | 28 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.