Apple M5 Pro GPU (16-core) vs GPU (8-Core)

We compared two integrated laptop professional GPUs: the Apple M5 Pro GPU (16-core) with 256 pipelines and 2048 shaders against the GPU (8-Core) that utilizes 128 pipelines and 1024 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

Please note that the tests on the Apple M5 GPU (8-Core) are done on an engineering sample provided by our insiders. The data will be more accurate after the final version of this GPU is available.

Key differences

Key distinctions and advantages of M5 GPU (8-Core) over M5 Pro GPU (16-core)
Reasons to consider the Apple M5 Pro GPU (16-core)
  • Performs significantly better (up to 94%) in 3DMark Steel Nomad Lite
  • 2x higher maximum theoretical performance (6.6 vs 3.3 TFLOPS)
  • Has 2x higher memory bandwidth: 307 vs 153 GB/s
  • Has 2x more shading units (2048 vs 1024)

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 19617
Wild Life Extreme 19874 9804
Sources: 3DMark [1], [2]

GeekBench 6 GPU Compute

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 153.3 img/sec -
Face Detection 101 img/sec -
Horizon Detection 2.82 Gpixels/sec -
Edge Detection 4.09 Gpixels/sec -
Gaussian Blur 3.69 Gpixels/sec -
Feature Matching 0.84 Gpixels/sec -
Stereo Matching 212.6 Gpixels/sec -
Particle Physics 9757.6 FPS -
API OpenCL -
Sources: Geekbench [3]

Blender

Rendering performance test for 3D modeling
Blender GPU
3750.22
1855.31
Sources: Blender [9], [10] – 46 & 40 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 M5 GPU (8-Core)
DateBenchmarkResult
📘 2026-06-08 (h)Geekbench 6 OpenCL40417

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 -
Image Segmentation (HP) 25244 -
Image Super Resolution (Q) 33177 -
Face Detection (HP) 51773 -
Pose Estimation (Q) 190718 -
Text Classification (SP) 2913 -
Machine Translation (HP) 8985 -
Object Detection (SP) 7777 -
Depth Estimation (Q) 63837 -
Style Transfer (SP) 128419 -
Framework Core ML -
Backend GPU -
Sources: Geekbench [9]

Specifications

Technical specifications of Apple M5 Pro GPU (16-core) and GPU (8-Core)

General

Vendor Apple Apple
Build Integrated Integrated
Released March 3, 2026 March 3, 2026
Case Laptop Laptop
Purpose Professional Professional
Segment Mid-range Mid-range
Architecture Apple M GPU Apple M GPU
GPU Codename Custom Custom
Recommended CPU - Apple M5 Pro (15-Core) or above - Apple M5 (8-сore GPU) or above
Used in CPUs - Apple M5 Pro (15-Core) - Apple M5 (8-сore GPU)
Laptop GPU ranking (#23rd place)

Graphics Processing Unit

Boost Clock 1620 MHz 1620 MHz
Shading Units 2048 1024
Texture Mapping Units (TMUs) 128 64
Render Output Units (ROPs) 64 32
Compute Units (Pipelines) 256 128
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 104 GPixel/s 52 GPixel/s
Texture Fill Rate 207 GTexel/s 104 GTexel/s
FLOPS (FP32)
6.6 TFLOPS
3.3 TFLOPS

Physical

Interface Custom Custom
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 9600 MHz
Bus 256-bit 128-bit
ECC No No
Memory Bandwidth
307 GB/s
153 GB/s

API

Ray Tracing Yes Yes
DLSS No No

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