AMD Radeon 610M vs Apple M1 Ultra GPU (64-core)

We compared two integrated laptop graphics cards: the Radeon 610M with 2 pipelines and 128 shaders against the 7 months older Apple M1 Ultra GPU (64-core) that utilizes 1024 pipelines and 8192 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 Ultra GPU (64-core) over Radeon 610M
Reasons to consider the Apple M1 Ultra GPU (64-core)
  • Performs significantly better (up to 24.1x) in 3DMark Steel Nomad Lite
  • 35.3x higher maximum theoretical performance (21.2 vs 0.6 TFLOPS)
  • Manufactured using a more efficient 5 nm process technology
  • Has 64x more shading units (8192 vs 128)
  • Achieves 20.9x more points in the GeekBench 6 Compute test (106K vs 5K)

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
11
-
-
-
-
Counter-Strike 2
16
11
-
-
-
Far Cry 6
9
-
-
-
-
CoD: Modern Warfare III
13
11
9
-
-
Ghost of Tsushima
-
-
-
-
-
Shadow of the Tomb Raider
-
9
-
-
-
Average FPS by Resolution
1080p High 9 -
1080p Ultra - -
1440p Ultra - -
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
Time Spy 519 -
Solar Bay 2068 36712
Port Royal 291 -
Fire Strike 1745 -
Wild Life Extreme 998 29343
Night Raid 7335 -
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
106397
Background Blur 12 img/sec 157.3 img/sec
Face Detection 6.42 img/sec 108.7 img/sec
Horizon Detection 0.16 Gpixels/sec 5.07 Gpixels/sec
Edge Detection 0.23 Gpixels/sec 10.7 Gpixels/sec
Gaussian Blur 0.16 Gpixels/sec 6.59 Gpixels/sec
Feature Matching 0.07 Gpixels/sec 0.73 Gpixels/sec
Stereo Matching 18.2 Gpixels/sec 293.4 Gpixels/sec
Particle Physics 828.6 FPS 14154.4 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 535 -
DirectX 11 17 FPS -
DirectX 12 7 FPS -
GPU Compute 768 Ops/s -
Sources: PassMark [5]194 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
48.33
1644.86
Sources: Blender [9], [10]43 & 68 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Radeon 610M
DateBenchmarkResult
📘 2026-05-05 (StarSophia)Steel Nomad Light614
Apple M1 Ultra GPU (64-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) 660 4834
Image Segmentation (HP) 627 14458
Image Super Resolution (Q) 2053 13757
Face Detection (HP) 2153 23618
Pose Estimation (Q) 5787 80481
Text Classification (SP) 713 2265
Machine Translation (HP) 1114 1798
Object Detection (SP) 709 4975
Depth Estimation (Q) 3233 25755
Style Transfer (SP) 11091 135609
Framework ONNX Core ML
Backend DirectML GPU
Sources: Geekbench [9], [10]
Results were compared using different ML frameworks

Specifications

Technical specifications of Radeon 610M and Apple M1 Ultra GPU (64-core)

General

Vendor Amd Apple
Build Integrated Integrated
Released October 1, 2022 March 8, 2022
Case Laptop Laptop
Purpose Generic Professional
Segment Entry-level High-end
Architecture RDNA 2.0 Apple M GPU
GPU Codename Mendocino Custom
Rival Equivalent - - GeForce RTX 4070 Laptop
Recommended CPU - AMD Ryzen 5 7520U or above - Apple M1 Ultra or above
Used in CPUs - AMD Ryzen 9 8945HX
- AMD Ryzen 9 8940HX
- AMD Ryzen 9 9850HX
- AMD Ryzen 9 9955HX
- AMD Ryzen 9 9955HX3D
- AMD Ryzen 5 9600X
- AMD Ryzen 7 9700X
- AMD Ryzen 9 7945HX3D
- and 6 more
- Apple M1 Ultra
Laptop GPU ranking (124th and 30th place)

Graphics Processing Unit

Base Clock 400 MHz 450 MHz
Boost Clock 1900-2200 MHz (configurable) 1296 MHz
Shading Units 128 8192
Texture Mapping Units (TMUs) 8 512
Render Output Units (ROPs) 4 256
Compute Units (Pipelines) 2 1024
Ray-tracing Cores 2 -
L1 Cache 128KB per cluster -
L2 Cache 2MB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 8-9 GPixel/s 332 GPixel/s
Texture Fill Rate 15-18 GTexel/s 664 GTexel/s
FLOPS (FP32)
0.5-0.6 TFLOPS
21.2 TFLOPS

Physical

Interface PCIe 4.0 x8 Custom
TGP 15 W 120 W
Manufacturing TSMC TSMC
Fabrication Process 6 nm 5 nm
Die Size 122 mm² -
Transistor Count 3.4 billion 92.8 billion
Transistor Density 27.87 MTr/mm² -
Max. Temperature - 94°C

Memory

Memory Type System Shared System Shared
Memory Clock - 6400 MHz
Effective Memory Speed - 12800 Mbps
Bus - 1024-bit
ECC No No
Memory Bandwidth

API

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

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