AMD Radeon RX Vega 8 vs Apple M3 GPU (10-core)

We compared two integrated laptop graphics cards: the Radeon RX Vega 8 with 8 pipelines and 512 shaders against the 5 years and 10 months newer Apple M3 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 M3 GPU (10-core) over RX Vega 8
Reasons to consider the Apple M3 GPU (10-core)
  • Performs significantly better (up to 2.8x) in 3DMark Steel Nomad Lite
  • Manufactured using a more efficient 3 nm process technology
  • 59% higher maximum theoretical performance (3.5 vs 2.2 TFLOPS)
  • Achieves 2.9x more points in the GeekBench 6 Compute test (30K vs 10K)
  • Has 2.5x more shading units (1280 vs 512)

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
25
11
10
-
-
The Witcher 3
9
10
-
-
-
Counter-Strike 2
27
16
12
-
-
Far Cry 6
20
17
10
-
-
Hogwarts Legacy
11
-
-
-
-
CoD: Modern Warfare III
22
17
14
-
-
Ghost of Tsushima
12
9
-
-
-
Cyberpunk 2077
-
-
-
-
-
Shadow of the Tomb Raider
14
13
10
-
-
Average FPS by Resolution
1080p High 16 -
1080p Ultra 12 -
1440p Ultra 9 -
4K Ultra - -
Margin of Error Low High

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
1261
3488
Time Spy 1410 -
Solar Bay - 13531
Fire Strike 4497 -
Wild Life Extreme 2532 8237
Night Raid 18010 -
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
10472
30027
Background Blur 21.2 img/sec 60.3 img/sec
Face Detection 10.9 img/sec 40.8 img/sec
Horizon Detection 0.34 Gpixels/sec 1.21 Gpixels/sec
Edge Detection 0.65 Gpixels/sec 1.64 Gpixels/sec
Gaussian Blur 0.51 Gpixels/sec 1.2 Gpixels/sec
Feature Matching 0.13 Gpixels/sec 0.37 Gpixels/sec
Stereo Matching 34.9 Gpixels/sec 102.6 Gpixels/sec
Particle Physics 1322.9 FPS 3293.3 FPS
API OpenCL OpenCL
Sources: Geekbench [3], [4]

Passmark Graphics

Videocard test that focuses on compute shaders, multi-texturing, tessellation, and other features
G3D Mark Score
G2D Mark 398 -
DirectX 11 10 FPS -
DirectX 12 8 FPS -
GPU Compute 861 Ops/s -
Sources: PassMark [5] – 10003 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
Sources: Blender [9] – 309 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Radeon RX Vega 8
No benchmark results yet
Apple M3 GPU (10-core)
DateBenchmarkResult
📘 2025-04-24 (Alex)Geekbench 6 OpenCL31004

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
2257
4120
GB6 ML Half Precision
2817
6992
GB6 ML Quantized
1643
5638
Image Classification (SP) 924 1579
Image Segmentation (HP) 1148 2944
Image Super Resolution (Q) 2211 4425
Face Detection (HP) 2819 6661
Pose Estimation (Q) 7106 15020
Text Classification (SP) 832 2984
Machine Translation (HP) 1021 5876
Object Detection (SP) 1040 1826
Depth Estimation (Q) 3885 9339
Style Transfer (SP) 14495 22291
Framework ONNX Core ML
Backend DirectML CPU
Sources: Geekbench [9], [10]
Results were compared using different ML frameworks

Specifications

Technical specifications of Radeon RX Vega 8 and Apple M3 GPU (10-core)

General

Vendor Amd Apple
Build Integrated Integrated
Released February 13, 2018 October 31, 2023
Case Laptop Laptop
Purpose Generic Professional
Segment Entry-level Mid-range
Architecture GCN 5.0 Apple M GPU
GPU Codename Raven -
Rival Equivalent - - GeForce RTX 4060 Laptop
Successor - - Apple M5 GPU (10-Core)
Recommended CPU - AMD Ryzen 7 4800U or above - Apple M3 or above
Used in CPUs - AMD Ryzen 7 7730U
- AMD Ryzen 7 5825U
- AMD Ryzen 7 5700G
- AMD Ryzen 7 Pro 5850U
- AMD Ryzen 7 5800HS
- AMD Ryzen 9 5980HX
- AMD Ryzen 7 5700U
- AMD Ryzen 9 5900HS
- and 8 more
- Apple M3
Laptop GPU ranking (127th and 81st place)

Graphics Processing Unit

Base Clock 300 MHz 500 MHz
Boost Clock 1100-2100 MHz (configurable) 1380 MHz
Shading Units 512 1280
Texture Mapping Units (TMUs) 32 80
Render Output Units (ROPs) 8 40
Compute Units (Pipelines) 8 160
Tensor Cores No -
Ray-tracing Cores No -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 9-17 GPixel/s 55 GPixel/s
Texture Fill Rate 35-67 GTexel/s 110 GTexel/s
FLOPS (FP32)
1.1-2.2 TFLOPS
3.5 TFLOPS

Physical

Interface IGP Custom
TGP 25 W 15 W
Manufacturing TSMC TSMC
Fabrication Process 7 nm 3 nm
Die Size 210 mm² -
Transistor Count 4.94 billion 13.8 billion
Transistor Density 23.52 MTr/mm² -
Max. Temperature - 100°C

Memory

Memory Type System Shared System Shared
Memory Size System RAM Dependent -
Memory Clock System RAM Dependent 6400 MHz
Effective Memory Speed System RAM Dependent 12800 Mbps
Bus - 128-bit
ECC No No
Memory Bandwidth
n/a
102.4 GB/s

API

DirectX 12 -
Vulkan 1.3 -
OpenGL 4.6 -
OpenCL 2.0 -
Ray Tracing No Yes
DLSS No No

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