AMD Radeon RX Vega 8 vs Apple M1 Pro GPU (16-core)

We compared two integrated laptop graphics cards: the Radeon RX Vega 8 with 8 pipelines and 512 shaders against the 3 years and 9 months newer Apple 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
AI/ML
Capabilities for machine learning and AI-related tasks
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 RX Vega 8
Reasons to consider the Apple M1 Pro GPU (16-core)
  • Performs significantly better (up to 3.2x) in 3DMark Steel Nomad Lite
  • 2.4x higher maximum theoretical performance (5.3 vs 2.2 TFLOPS)
  • Manufactured using a more efficient 5 nm process technology
  • Achieves 4x more points in the GeekBench 6 Compute test (42K vs 10K)
  • Has 4x more shading units (2048 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 Low

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
Time Spy 1410 -
Solar Bay - 12485
Fire Strike 4497 -
Wild Life Extreme 2532 9873
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
42227
Background Blur 21.2 img/sec 74.5 img/sec
Face Detection 10.9 img/sec 47.3 img/sec
Horizon Detection 0.34 Gpixels/sec 1.73 Gpixels/sec
Edge Detection 0.65 Gpixels/sec 3.32 Gpixels/sec
Gaussian Blur 0.51 Gpixels/sec 1.75 Gpixels/sec
Feature Matching 0.13 Gpixels/sec 0.47 Gpixels/sec
Stereo Matching 34.9 Gpixels/sec 131.2 Gpixels/sec
Particle Physics 1322.9 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

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] – 502 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Radeon RX Vega 8
No benchmark results yet
Apple M1 Pro GPU (16-core)
DateBenchmarkResult
📘 2026-03-27 (bbffx)Geekbench 6 OpenCL43467
📘 2026-03-27 (bbffx)Cinebench 20242423
📘 2026-03-27 (bbffx)Steel Nomad Light4048
📘 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) 924 4112
Image Segmentation (HP) 1148 7488
Image Super Resolution (Q) 2211 9882
Face Detection (HP) 2819 14702
Pose Estimation (Q) 7106 33560
Text Classification (SP) 832 2289
Machine Translation (HP) 1021 1629
Object Detection (SP) 1040 3633
Depth Estimation (Q) 3885 16986
Style Transfer (SP) 14495 53586
Framework ONNX Core ML
Backend DirectML GPU
Sources: Geekbench [9], [10]
Results were compared using different ML frameworks

Specifications

Technical specifications of Radeon RX Vega 8 and Apple M1 Pro GPU (16-core)

General

Vendor Amd Apple
Build Integrated Integrated
Released February 13, 2018 October 18, 2021
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 3050 Laptop
Successor - - Apple M5 Pro GPU (20-core)
Recommended CPU - AMD Ryzen 7 4800U or above - Apple M1 Pro 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 M1 Pro
Laptop GPU ranking (127th and 79th place)

Graphics Processing Unit

Base Clock 300 MHz 450 MHz
Boost Clock 1100-2100 MHz (configurable) 1296 MHz
Shading Units 512 2048
Texture Mapping Units (TMUs) 32 128
Render Output Units (ROPs) 8 64
Compute Units (Pipelines) 8 256
Tensor Cores No -
Ray-tracing Cores No No
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 9-17 GPixel/s 83 GPixel/s
Texture Fill Rate 35-67 GTexel/s 166 GTexel/s
FLOPS (FP32)
1.1-2.2 TFLOPS
5.3 TFLOPS

Physical

Interface IGP Custom
TGP 25 W 30 W
Manufacturing TSMC TSMC
Fabrication Process 7 nm 5 nm
Die Size 210 mm² -
Transistor Count 4.94 billion 23.2 billion
Transistor Density 23.52 MTr/mm² -
Max. Temperature - 94°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 - 256-bit
ECC No No
Memory Bandwidth

API

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

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