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GeForce GTX 1050 Ti Mobile vs Apple M1 GPU (8-core)

GeForce GTX 1050 Ti Mobile
VS
Apple M1 GPU (8-core)
Nvidia GeForce GTX 1050 Ti Mobile
GP107 (N17P-G1)
Apple M1 GPU (8-core)

We performed a head-to-head comparison of the GeForce GTX 1050 Ti Mobile 4 GB with 6 pipelines and 768 shaders against the 3 years and 11 months newer Apple M1 GPU (8-core) that utilizes 128 pipelines and 1024 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

  1. Review
  2. Differences
  3. Gaming performance
  4. Benchmarks
  5. AI
  6. Specs
  7. Comments

Review

General comparison of performance in games, applications, power efficiency, and other metrics
Gaming
Performance in DirectX, OpenCL, and Vulkan games
Workstation
Perf. in 3D modeling, video editing and rendering apps
AI/ML
Capabilities for machine learning and AI-related tasks
Energy Efficiency
Power consumption efficiency in different scenarios
NanoReview Final Score
Overall video card score

Key differences

Key distinctions and advantages of M1 GPU (8-core) over GTX 1050 Ti Laptop
Reasons to consider the GeForce GTX 1050 Ti Mobile
  • Performs slightly better (up to 16%) in 3DMark Steel Nomad Lite
  • Includes 4 GB of dedicated GDDR5 memory
  • Has 64% higher memory bandwidth: 112.1 vs 68.2 GB/s
Reasons to consider the Apple M1 GPU (8-core)
  • Manufactured using a more efficient 5 nm process technology
  • Has 33% more shading units (1024 vs 768)

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions
GPU
GTX 1050 Ti Mobile
vs
M1 GPU (8-core)

Games

FPS Table
Forza Horizon 5
32
18
14
-
-
The Witcher 3
23
20
15
-
-
Counter-Strike 2
49
27
20
-
-
Far Cry 6
31
28
18
10
 -
Hogwarts Legacy
16
13
11
-
-
CoD: Modern Warfare III
29
24
14
12
 -
Ghost of Tsushima
15
9
-
-
-
Cyberpunk 2077
15
11
-
-
-
Shadow of the Tomb Raider
29
24
15
-
-
Average FPS by Resolution
1080p High 27 -
1080p Ultra 19 -
1440p Ultra 13 -
4K Ultra - -
Margin of Error Low Low

Benchmarks

Graphics cards’ performance in recent benchmarking apps

3D Mark

Multiplatform graphics benchmark suite that directly correlates with performance in modern games
Steel Nomad Lite Score
Time Spy 2345 -
Solar Bay - 6317
Fire Strike 7709 -
Wild Life Extreme 4954 4966
Night Raid 31468 -
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 57 img/sec 38.3 img/sec
Face Detection 27.8 img/sec 23 img/sec
Horizon Detection 0.84 Gpixels/sec 0.76 Gpixels/sec
Edge Detection 1.22 Gpixels/sec 1.33 Gpixels/sec
Gaussian Blur 1.32 Gpixels/sec 0.87 Gpixels/sec
Feature Matching 0.19 Gpixels/sec 0.27 Gpixels/sec
Stereo Matching 73.2 Gpixels/sec 69.9 Gpixels/sec
Particle Physics 2037 FPS 2766.4 FPS
API OpenCL OpenCL
Sources: Geekbench [3], [4]

Cinebench 2024 GPU

Hardware benchmark using Maxon's Cinema 4D rendering engine
Cinebench 2024 GPU

Passmark Graphics

Videocard test that focuses on compute shaders, multi-texturing, tessellation, and other features
G3D Mark Score
G2D Mark 323 -
DirectX 11 45 FPS -
DirectX 12 24 FPS -
GPU Compute 2190 Ops/s -
Sources: PassMark [5] – 1541 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
GTX 1050 Ti Mobile
220.74
M1 GPU (8-core) +18%
260.64
Sources: Blender [9], [10] – 22 & 307 samples
Add your GPU benchmark result

Artificial Intelligence Tests

Performance in machine learning and artificial intelligence tasks

GeekBench 6 ML

Tests throughput of AI operations in single, half, and quantized precision
GB6 ML Single Precision
GB6 ML Half Precision
GB6 ML Quantized
Image Classification (SP) 1393 1400
Image Segmentation (HP) 2013 2280
Image Super Resolution (Q) 4766 3402
Face Detection (HP) 3370 5638
Pose Estimation (Q) 17580 12027
Text Classification (SP) 1319 2324
Machine Translation (HP) 1662 4296
Object Detection (SP) 1771 1530
Depth Estimation (Q) 6411 7675
Style Transfer (SP) 28772 17293
Framework ONNX Core ML
Backend DirectML CPU
Sources: Geekbench [9], [10]
Results were compared using different ML frameworks

Specifications

Technical specifications of GeForce GTX 1050 Ti Mobile and Apple M1 GPU (8-core)

General

Vendor Nvidia Apple
Build Discrete Integrated
Released January 3, 2017 November 20, 2020
Case Laptop Laptop
Purpose Gaming Professional
Segment Mid-range Mid-range
Architecture Pascal Apple M GPU
GPU Codename GP107 (N17P-G1) -
Rival Equivalent - - GeForce GTX 1050 Ti Mobile
Successor - GeForce GTX 1650 Ti Mobile - Apple M5 GPU (10-Core)
Recommended CPU - Intel Core i5 8300H or above - Apple M1 or above
Used in CPUs - - Apple M1
Laptop GPU ranking (128th and 104th place)

Graphics Processing Unit

Base Clock 1493 MHz 450 MHz
Boost Clock 1620 MHz 1278 MHz
Shading Units 768 1024
Texture Mapping Units (TMUs) 48 64
Render Output Units (ROPs) 32 32
Compute Units (Pipelines) 6 128
Tensor Cores No -
Ray-tracing Cores No No
L1 Cache 48KB per cluster -
L2 Cache 1024KB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 52 GPixel/s 41 GPixel/s
Texture Fill Rate 78 GTexel/s 82 GTexel/s
FLOPS (FP32)
GTX 1050 Ti Mobile
2.5 TFLOPS
M1 GPU (8-core) +4%
2.6 TFLOPS

Physical

Interface PCIe 3.0 x16 Custom
TGP 65 W 15 W
Manufacturing Samsung Intel
Fabrication Process 14 nm 5 nm
Die Size 132 mm² -
Transistor Count 3.3 billion 11.6 billion
Transistor Density 25 MTr/mm² -
Max. Temperature - 94°C

Memory

Memory Type GDDR5 System Shared
Memory Size 4 GB -
Memory Clock 1752 MHz 4266 MHz
Effective Memory Speed 7008 Mbps 8532 Mbps
Bus 128-bit 128-bit
ECC No No
Memory Bandwidth
GTX 1050 Ti Mobile +64%
112.1 GB/s
M1 GPU (8-core)
68.2 GB/s

API

DirectX 12 -
Vulkan 1.2.131 -
OpenGL 4.6 -
OpenCL 1.2 -
CUDA 6.1 -
Ray Tracing No No
DLSS No No
DisplayPort 1.4 -

Cast your vote

Choose between two graphics cards
2 (28.6%)
5 (71.4%)
Total votes: 7

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