Explore the complete details of GeForce 800M, including specs, performance benchmarks
The GeForce 800M GPU by NVIDIA. features a Fermi 2.0 (2010−2014) architecture. with 48 CUDA cores. It offers DDR3 memory with 1 GB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 14.4 GB/s GB/s. With a power consumption (TDP) of 15W.
Basic details about the GeForce 800M, including manufacturer, ranking, and release date.
| Title | GeForce 800M |
|---|---|
| Manufacturer | NVIDIA |
| Ranking | 1092 |
| Popularity Rank | not in top-100 |
| Architecture | Fermi 2.0 (2010−2014) |
| GPU code name | GF117 |
| Market Segmente | Laptop |
| Length - Width | N/A - N/A |
| Release Date | 17 March 2014 |
| Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of GeForce 800M.
| Core Clock Speed | 738 MHz |
|---|---|
| Boost Clock Speed | N/A |
| Floating Point Processing Power | 0.1417 TFLOPS |
| No of Transistors | 585 million |
| CUDA Cores | 48 |
| Ray Tracing Cores | N/A |
| Tensor Cores | N/A |
| Texture Fill Rate | 5.904 |
| ROPs | 8 |
Available display connectors and API compatibility for enhanced performance.
| Interface | PCIe 2.0 x16 |
|---|---|
| Display Connectors | No outputs |
| 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 | 8 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
| Memory Type | DDR3 |
|---|---|
| Maximum RAM | 1 GB |
| Memory Bus Width | 64 Bit |
| Memory Clock Speed | 900 MHz |
| Memory Bandwidth | 14.4 GB/s GB/s |
| Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
| Power Consumption (TDP) | 15 W |
|---|---|
| Power Efficiency | 5.74 |
| 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.
