Apple M5 Pro GPU (16-core) vs M4 GPU (10-Core)

We compared two integrated laptop professional GPUs: the Apple M5 Pro GPU (16-core) with 256 pipelines and 2048 shaders against the 1 year and 10 months older M4 GPU (10-Core) that utilizes 160 pipelines and 1280 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
AI/ML
Capabilities for machine learning and AI-related tasks
Energy Efficiency
Power consumption efficiency in different scenarios
DeviceFacts Final Score
Overall video card score

Key differences

Key distinctions and advantages of M4 GPU (10-Core) over M5 Pro GPU (16-core)
Reasons to consider the Apple M5 Pro GPU (16-core)
  • Performs significantly better (up to 2.1x) in 3DMark Steel Nomad Lite
  • 74% higher maximum theoretical performance (6.6 vs 3.8 TFLOPS)
  • Has 2.6x higher memory bandwidth: 307 vs 120 GB/s
  • Achieves 2x more points in the GeekBench 6 Compute test (75K vs 37K)
  • Has 60% more shading units (2048 vs 1280)

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
Solar Bay 39369 16554
Wild Life Extreme 19874 9610
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 153.3 img/sec 72.2 img/sec
Face Detection 101 img/sec 48.3 img/sec
Horizon Detection 2.82 Gpixels/sec 1.4 Gpixels/sec
Edge Detection 4.09 Gpixels/sec 1.94 Gpixels/sec
Gaussian Blur 3.69 Gpixels/sec 1.5 Gpixels/sec
Feature Matching 0.84 Gpixels/sec 0.53 Gpixels/sec
Stereo Matching 212.6 Gpixels/sec 123.3 Gpixels/sec
Particle Physics 9757.6 FPS 4938.4 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
3745.88
Sources: Blender [9], [10] – 51 & 551 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Apple M5 Pro GPU (16-core)
DateBenchmarkResult
📘 2026-07-18 (JSK)Steel Nomad Light8894
📘 2026-03-30 (JSK)Geekbench 6 OpenCL76085
Apple M4 GPU (10-Core)
No benchmark results yet

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) 8260 4874
Image Segmentation (HP) 25244 8168
Image Super Resolution (Q) 33177 11983
Face Detection (HP) 51773 17036
Pose Estimation (Q) 190718 31171
Text Classification (SP) 2913 2964
Machine Translation (HP) 8985 3410
Object Detection (SP) 7777 5112
Depth Estimation (Q) 63837 22700
Style Transfer (SP) 128419 60872
Framework Core ML Core ML
Backend GPU GPU
Sources: Geekbench [9], [10]

Specifications

Technical specifications of Apple M5 Pro GPU (16-core) and M4 GPU (10-Core)

General

Vendor Apple Apple
Build Integrated Integrated
Released March 3, 2026 May 7, 2024
Case Laptop Laptop
Purpose Professional Professional
Segment Mid-range Mid-range
Architecture Apple M GPU Apple M GPU
GPU Codename Custom Custom
Rival Equivalent - - Adreno X1-85
Successor - - Apple M5 GPU (10-Core)
Recommended CPU - Apple M5 Pro (15-Core) or above - Apple M4 (10-Core) or above
Used in CPUs - Apple M5 Pro (15-Core) - Apple M4 (10-Core)
Laptop GPU ranking (24th and 73rd place)

Graphics Processing Unit

Base Clock - 500 MHz
Boost Clock 1620 MHz 1470 MHz
Shading Units 2048 1280
Texture Mapping Units (TMUs) 128 80
Render Output Units (ROPs) 64 40
Compute Units (Pipelines) 256 160
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 104 GPixel/s 59 GPixel/s
Texture Fill Rate 207 GTexel/s 118 GTexel/s
FLOPS (FP32)
6.6 TFLOPS
3.8 TFLOPS

Physical

Interface Custom Custom
TGP - 18 W
Manufacturing TSMC TSMC
Fabrication Process 3 nm 3 nm
Transistor Count 28 billion 28 billion
Max. Temperature 100°C 100°C

Memory

Memory Type System Shared System Shared
Memory Clock 9600 MHz 7500 MHz
Effective Memory Speed - 15000 Mbps
Bus 256-bit 128-bit
ECC No No
Memory Bandwidth
307 GB/s
120 GB/s

API

Ray Tracing Yes Yes
DLSS No No

Cast your vote

Choose between two graphics cards
1 (100%)
0 (0%)
Total votes: 1

User opinions

You can share your opinion or ask a question in the comments below
🌐 Register your profile and become part of DeviceFacts community!