NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU)
Benchmark and Specs


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Benchmark and Specs

Here you will find all technical data as well as various benchmarks of the NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU). Up to 3 screens with a maximum resolution of up to 7680x4320 can be operated with this graphics card. The maximum turbo clock of the NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU) is 1.620 GHz, so the graphics card achieves an FP32 computing power of 2.49 TFLOPS.

GPU

The NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU) is equipped with 6 execution and 768 shader units. With single precision, a theoretical FP32 computing power of 2.49 TFLOPS is achieved.

Based on: NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU)
GPU Chip: GP107 (Pascal)
Streaming Multiprocessors: 6
Shader: 768
Render Output Units: 32
Texture Units: 48
Raytracing Cores: 0

Memory

The NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU) has a 128 bit wide memory interface, with which a memory bandwidth of 112 GB/s is achieved. In total, 4 GB GDDR5 graphics memory is available for the graphics card.

Memory Size: 4 GB
Memory Type: GDDR5
Memory Clock: 1.752 GHz
Memory Speed: 7.0 Gbps
Memory bandwidth: 112 GB/s
Memory Interface: 128 bit

Clock Speeds

The manufacturer specifies the memory clock of the NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU) with 1.493 GHz (base clock) or with 1.620 GHz (turbo clock). If overclocking is supported (see below), the clock rate can be increased even further.

Base Clock: 1.493 GHz
Boost Clock: 1.620 GHz
Avg (Game) Clock:
Overclocking: Yes

Thermal Design

The NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU) has plugs, which supply the graphics card with energy. The maximum operating temperature of the card is Unknown.

TDP: 75 W
TDP (up): --
Tjunction max: Unknown
PCIe-Power:

Cooler & Fans

The NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU) is equipped with 0 -- main fans, which are used to cool the graphics processor and graphics memory.

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

Connectivity

Up to 3 screens can be connected to the NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU), whereby the backward-compatible HDCP copy protection is supported in the 2.1 version.

Max. Displays: 3
HDCP-Version: 2.1
HDMI Ports: --
DP Ports: --
DVI Ports: --
VGA Ports: --
USB-C Ports: --

Featureset

The NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU) supports a maximum resolution of 7680x4320 pixels and the DirectX standard version 12_1.

Max. resolution: 7680x4320
DirectX: 12_1
Raytracing: No
DLSS / FSR: Yes
LED: No LED lighting

Supported Video Codecs

Here is a list of which video codecs can be decoded / encoded by the NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU) in hardware in order to minimize the processor load.

h264: Decode / Encode
h265 / HEVC: Decode / Encode
VP8: No
VP9: Decode
AV1: No

Dimensions

The dimensions of the NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU) are -- in length, -- in height and -- in width. Thus -- are needed in a case.

Length: --
Height: --
Width: --
Width (Slots): --
Weight: --
SFF-Ready: No

Additional data

The NVIDIA GeForce GTX 1050 Ti Mobile 4GB (Laptop GPU) is manufactured in a structure width of 14 nm and has a PCIe 3.0 x 16 lanes interface. The graphics card was released in Q1/2017.

GPU Interface: PCIe 3.0 x 16
Release date: Q1/2017
Launch Price: --
Structure size: 14 nm
Part-no: --
Documents: --

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Benchmark results

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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