Explore the complete details of GeForce GTX 980M, including specs, performance benchmarks
The GeForce GTX 980M GPU by NVIDIA. features a Maxwell 2.0 (2014−2019) architecture. with 1536 CUDA cores. and a boost clock of 1127 MHz MHz. It offers GDDR5 memory with 8 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 160 GB/s GB/s.
Basic details about the GeForce GTX 980M, including manufacturer, ranking, and release date.
| Title | GeForce GTX 980M |
|---|---|
| Manufacturer | NVIDIA |
| Ranking | 309 |
| Popularity Rank | not in top-100 |
| Architecture | Maxwell 2.0 (2014−2019) |
| GPU code name | GM204 |
| Market Segmente | Laptop |
| Length - Width | N/A - N/A |
| Release Date | 7 October 2014 |
Details on clock speeds, cores, and floating-point processing power of GeForce GTX 980M.
| Core Clock Speed | 1038 MHz |
|---|---|
| Boost Clock Speed | 1127 MHz |
| Floating Point Processing Power | 1.659 TFLOPS |
| No of Transistors | 5,200 million |
| CUDA Cores | 1536 |
| Ray Tracing Cores | N/A |
| Tensor Cores | N/A |
| Texture Fill Rate | 51.84 |
| ROPs | 64 |
Available display connectors and API compatibility for enhanced performance.
| Interface | MXM-B (3.0) |
|---|---|
| Display Connectors | No outputs |
| HDMI | 1 |
| DirectX | N/A |
| Shader Model | N/A |
| OpenGL | N/A |
| OpenCL | N/A |
| Vulkan | N/A |
| CUDA | N/A |
| DLSS | N/A |
| TMUs | 96 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
| Memory Type | GDDR5 |
|---|---|
| Maximum RAM | 8 GB |
| Memory Bus Width | 256 Bit |
| Memory Clock Speed | 2500 MHz |
| Memory Bandwidth | 160 GB/s GB/s |
| Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
| Power Consumption (TDP) | 0 W |
|---|---|
| Power Efficiency | 12.97 |
| Manufacturing Process | 28 nm |
| Supplementary Power Connectors | None |
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.
