Apple M4 GPU (8-core) vs M1 Pro GPU (16-core)

We compared two integrated laptop professional GPUs: the Apple M4 GPU (8-core) with 128 pipelines and 1024 shaders against the 3 years and 1 month older M1 Pro GPU (16-core) that utilizes 256 pipelines and 2048 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

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
Energy Efficiency
Power consumption efficiency in different scenarios
NanoReview Final Score
Overall video card score

Key differences

Key distinctions and advantages of M1 Pro GPU (16-core) over M4 GPU (8-core)
Reasons to consider the Apple M4 GPU (8-core)
  • Manufactured using a more efficient 3 nm process technology
Reasons to consider the Apple M1 Pro GPU (16-core)
  • Performs slightly better (up to 15%) in 3DMark Steel Nomad Lite
  • 77% higher maximum theoretical performance (5.3 vs 3 TFLOPS)
  • Has 71% higher memory bandwidth: 204.8 vs 120 GB/s
  • Achieves 37% more points in the GeekBench 6 Compute test (42K vs 30K)
  • Has 2x more shading units (2048 vs 1024)

Benchmarks

Graphics cardsโ€™ performance in recent benchmarking apps

3D Mark

Multiplatform graphics benchmark suite that directly correlates with performance in modern games
Steel Nomad Lite Score
Solar Bay 13969 12485
Wild Life Extreme 7931 9873
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 57.4 img/sec 74.5 img/sec
Face Detection 41.3 img/sec 47.3 img/sec
Horizon Detection 1.21 Gpixels/sec 1.73 Gpixels/sec
Edge Detection 1.74 Gpixels/sec 3.32 Gpixels/sec
Gaussian Blur 1.12 Gpixels/sec 1.75 Gpixels/sec
Feature Matching 0.43 Gpixels/sec 0.47 Gpixels/sec
Stereo Matching 94.9 Gpixels/sec 131.2 Gpixels/sec
Particle Physics 3902.5 FPS 5143 FPS
API OpenCL OpenCL
Sources: Geekbench [3], [4]

Cinebench 2024 GPU

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

Blender

Rendering performance test for 3D modeling
Blender GPU
1067.96
Sources: Blender [9], [10] โ€“ 100 & 499 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Apple M4 GPU (8-core)
No benchmark results yet
Apple M1 Pro GPU (16-core)
DateBenchmarkResult
๐Ÿ“˜ 2026-03-27 (bbffx)Geekbench 6 OpenCL43467
๐Ÿ“˜ 2026-03-27 (bbffx)Cinebench 20242423
๐Ÿ“˜ 2026-03-27 (bbffx)Steel Nomad Light4048
๐Ÿ“˜ 2025-02-21 (serhii)Geekbench 6 OpenCL40932

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) - 4112
Image Segmentation (HP) - 7488
Image Super Resolution (Q) - 9882
Face Detection (HP) - 14702
Pose Estimation (Q) - 33560
Text Classification (SP) - 2289
Machine Translation (HP) - 1629
Object Detection (SP) - 3633
Depth Estimation (Q) - 16986
Style Transfer (SP) - 53586
Framework - Core ML
Backend - GPU
Sources: Geekbench [9]

Specifications

Technical specifications of Apple M4 GPU (8-core) and M1 Pro GPU (16-core)

General

Vendor Apple Apple
Build Integrated Integrated
Released October 29, 2024 October 18, 2021
Case Laptop Laptop
Purpose Professional Professional
Segment Mid-range Mid-range
Architecture Apple M GPU Apple M GPU
GPU Codename Custom -
Rival Equivalent - - GeForce RTX 3050 Laptop
Successor - Apple M5 GPU (8-Core) - Apple M5 Pro GPU (20-core)
Recommended CPU - Apple M4 (8-Core) or above - Apple M1 Pro or above
Used in CPUs - Apple M4 (8-Core) - Apple M1 Pro
Laptop GPU ranking (66th and 77th place)

Graphics Processing Unit

Base Clock 500 MHz 450 MHz
Boost Clock 1470 MHz 1296 MHz
Shading Units 1024 2048
Texture Mapping Units (TMUs) 64 128
Render Output Units (ROPs) 32 64
Compute Units (Pipelines) 128 256
Ray-tracing Cores - No
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 47 GPixel/s 83 GPixel/s
Texture Fill Rate 94 GTexel/s 166 GTexel/s
FLOPS (FP32)
3 TFLOPS
5.3 TFLOPS

Physical

Interface Custom Custom
TGP 15 W 30 W
Manufacturing TSMC TSMC
Fabrication Process 3 nm 5 nm
Transistor Count - 23.2 billion
Max. Temperature 100ยฐC 94ยฐC

Memory

Memory Type System Shared System Shared
Memory Clock 7500 MHz 6400 MHz
Effective Memory Speed 15000 Mbps 12800 Mbps
Bus 128-bit 256-bit
ECC No No
Memory Bandwidth
120 GB/s
204.8 GB/s

API

Ray Tracing Yes No
DLSS No No

Cast your vote

Choose between two graphics cards
4 (16.7%)
20 (83.3%)
Total votes: 24

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