Explore the complete details of Radeon HD 7870M, including specs, performance benchmarks
The Radeon HD 7870M GPU by AMD. features a GCN 1.0 (2012−2020) architecture. with 640 CUDA cores. It offers GDDR5 memory with 2 GB GB capacity and a 128 Bit-bit interface. delivering a bandwidth of 64 GB/s GB/s. With a power consumption (TDP) of 45W. it supports DirectX 12 (11_1), Vulkan 1.2.131 for enhanced performance.
Basic details about the Radeon HD 7870M, including manufacturer, ranking, and release date.
Title | Radeon HD 7870M |
---|---|
Manufacturer | AMD |
Ranking | 740 |
Popularity Rank | not in top-100 |
Architecture | GCN 1.0 (2012−2020) |
GPU code name | Heathrow |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 24 April 2012 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Radeon HD 7870M.
Core Clock Speed | 800 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 1.024 TFLOPS |
No of Transistors | 1,500 million |
CUDA Cores | 640 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 32.00 |
ROPs | 16 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
---|---|
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 | 40 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 2 GB |
Memory Bus Width | 128 Bit |
Memory Clock Speed | 1000 MHz |
Memory Bandwidth | 64 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 45 W |
---|---|
Power Efficiency | 5.98 |
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.