Apple M5 GPU (8-Core) vs A18 Pro GPU

We compared two integrated laptop graphics cards: the Apple M5 GPU (8-Core) with 128 pipelines and 1024 shaders against the 1 year and 6 months older A18 Pro GPU that utilizes 128 pipelines and 768 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 A18 Pro GPU over M5 GPU (8-Core)
Reasons to consider the Apple M5 GPU (8-Core)
  • Performs significantly better (up to 2.5x) in 3DMark Steel Nomad Lite
  • 43% higher maximum theoretical performance (3.3 vs 2.3 TFLOPS)
  • Has 33% more shading units (1024 vs 768)

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
4449
Solar Bay 19617 7374
Wild Life Extreme 9804 3947
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 - 57.1 img/sec
Face Detection - 91.4 img/sec
Horizon Detection - 0.92 Gpixels/sec
Edge Detection - 1.21 Gpixels/sec
Gaussian Blur - 1.5 Gpixels/sec
Feature Matching - 0.45 Gpixels/sec
Stereo Matching - 84.2 Gpixels/sec
Particle Physics - 3061 FPS
API - Metal
Sources: Geekbench [3]

Blender

Rendering performance test for 3D modeling
Blender GPU
Sources: Blender [9] – 40 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Apple M5 GPU (8-Core)
DateBenchmarkResult
📘 2026-06-08 (h)Geekbench 6 OpenCL40417
Apple A18 Pro GPU
DateBenchmarkResult
📘 2026-04-24 -> RennsportGeekbench 6 OpenCL19670

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) - 3264
Image Segmentation (HP) - 4550
Image Super Resolution (Q) - 6705
Face Detection (HP) - 11770
Pose Estimation (Q) - 15548
Text Classification (SP) - 3678
Machine Translation (HP) - 5678
Object Detection (SP) - 3360
Depth Estimation (Q) - 13468
Style Transfer (SP) - 31541
Framework - Core ML
Backend - GPU
Sources: Geekbench [9]

Specifications

Technical specifications of Apple M5 GPU (8-Core) and A18 Pro GPU

General

Vendor Apple Apple
Build Integrated Integrated
Released March 3, 2026 September 9, 2024
Case Laptop Laptop
Purpose Professional Generic
Segment Mid-range Mid-range
Architecture Apple M GPU Apple M GPU
GPU Codename Custom Custom
Recommended CPU - Apple M5 (8-сore GPU) or above - Apple A18 Pro (MacBook) or above
Used in CPUs - Apple M5 (8-сore GPU) - Apple A18 Pro (MacBook)
Laptop GPU ranking (#81st place)

Graphics Processing Unit

Boost Clock 1620 MHz 1490 MHz
Shading Units 1024 768
Texture Mapping Units (TMUs) 64 40
Render Output Units (ROPs) 32 -
Compute Units (Pipelines) 128 128
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 52 GPixel/s -
Texture Fill Rate 104 GTexel/s 60 GTexel/s
FLOPS (FP32)
3.3 TFLOPS
2.3 TFLOPS

Physical

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

Memory

Memory Type System Shared System Shared
Memory Clock 9600 MHz 7500 MHz
Bus 128-bit 128-bit
ECC No No
Memory Bandwidth

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 NanoReview community!