NVIDIA GeForce RTX 3050 Mobile (Laptop GPU)
Benchmark and Specs


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Benchmark and Specs

Here we show you benchmarks and technical data for the NVIDIA GeForce RTX 3050 Mobile (Laptop GPU). The graphics card is based on the NVIDIA GeForce RTX 3050 Mobile (Laptop GPU) (Ampere) and has 4 GB GDDR6 graphics memory with a memory bandwidth of 192 GB/s. The NVIDIA GeForce RTX 3050 Mobile (Laptop GPU) has 16 execution units with 2048 shaders.

GPU

The NVIDIA GeForce RTX 3050 Mobile (Laptop GPU) has 2048 shaders and 16 execution units. The graphics card thus achieves a theoretical FP32 computing power of 7.13 TFLOPS.

Based on: NVIDIA GeForce RTX 3050 Mobile (Laptop GPU)
GPU Chip: GA107 (Ampere)
Streaming Multiprocessors: 16
Shader: 2048
Render Output Units: 40
Texture Units: 64
Raytracing Cores: 16

Memory

The NVIDIA GeForce RTX 3050 Mobile (Laptop GPU) can use 4 GB graphics memory of the type GDDR6. The graphics card thus achieves a memory bandwidth of 192 GB/s on a 128 bit wide memory interface.

Memory Size: 4 GB
Memory Type: GDDR6
Memory Clock: 1.500 GHz
Memory Speed: 12.0 Gbps
Memory bandwidth: 192 GB/s
Memory Interface: 128 bit

Clock Speeds

The base clock frequency of the NVIDIA GeForce RTX 3050 Mobile (Laptop GPU) is 1.530 GHz. A high clock frequency (even in turbo mode) can greatly increase the speed of a graphics card.

Base Clock: 1.530 GHzDeviation vs GPU group+ 44 %
Boost Clock: 1.740 GHzDeviation vs GPU group+ 30 %
Avg (Game) Clock:
Overclocking: Yes

Thermal Design

The TDP (Thermal Design Power) of the NVIDIA GeForce RTX 3050 Mobile (Laptop GPU) is 80 W. The graphics card is supplied with energy via the connector.

TDP: 80 WDeviation vs GPU group+ 78 %
TDP (up): --
Tjunction max: 100 °C
PCIe-Power:

Cooler & Fans

The NVIDIA GeForce RTX 3050 Mobile (Laptop GPU) has a total of 0 Radial fans to cool the graphics processor and graphics memory.

Fan-Type: Radial
Fan 1: --
Fan 2: --
Cooler-Type: Air cooling
Noise (Idle): --
Noise (Load): --

Connectivity

Up to 4 screens can be connected to the NVIDIA GeForce RTX 3050 Mobile (Laptop GPU).

Max. Displays: 4
HDCP-Version: 2.3
HDMI Ports: --
DP Ports: 1x DP v1.4b
DVI Ports: --
VGA Ports: --
USB-C Ports: --

Featureset

The NVIDIA GeForce RTX 3050 Mobile (Laptop GPU) has a maximum resolution of 7680x4320 pixels. The graphics card supports the DirectX 12_2 (Ultimate) standard.

Max. resolution: 7680x4320
DirectX: 12_2 (Ultimate)
Raytracing: Yes
DLSS / FSR: Yes
LED: No LED lighting

Supported Video Codecs

The video codecs accelerated in hardware by the NVIDIA GeForce RTX 3050 Mobile (Laptop GPU) reduce the processor load and ensure lower energy consumption.

h264: Decode / Encode
h265 / HEVC: Decode / Encode
VP8: Decode
VP9: Decode
AV1: Decode

Dimensions

The NVIDIA GeForce RTX 3050 Mobile (Laptop GPU) is -- long and -- high. With a width of --, the graphics card requires -- in the case.

Length: --
Height: --
Width: --
Width (Slots): --
Weight: --

Additional data

The NVIDIA GeForce RTX 3050 Mobile (Laptop GPU) made in 8 nm was published in Q2/2021 for --.

GPU Interface: PCIe 4.0 x 16
Release date: Q2/2021
Launch Price: --
Structure size: 8 nm
Part-no: --
Documents: data sheet

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Benchmark results

Geekbench 6 (OpenCL, Vulkan, Metal)

Geekbench 6 is a cross-platform benchmark for main processors, which also carries out 3 different graphics benchmarks and outputs them in the form of a numerical value.

Geekbench 6 - OpenCL

Geekbench 6 - Vulkan

FP32 Performance (Single-precision TFLOPS)

The theoretical computing power of the graphics card with single precision (32 bit) in TFLOPS indicates how many trillion FP32 floating point operations the graphics card (GPU) can perform per second.

FP32 (TFLOPS)

More benchmarks

In order to determine the performance of a graphics card, so-called "benchmarks" are carried out. The benchmark software carries out special calculations to determine the performance of a graphics card. We use so-called theoretical or synthetic benchmarks (e.g. 3D Mark) as well as real game benchmarks. To ensure real comparability of the results, we pay attention to the correct execution of the benchmarks as well as the condition of the graphics card and the system.

We use the following benchmarks to measure the performance of a graphics card:

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