GeForce RTX 4070 Laptop vs Apple M1 Ultra GPU (64-core)

We performed a head-to-head comparison of the GeForce RTX 4070 Mobile 8 GB with 36 pipelines and 4608 shaders against the 1 year 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.

Some GPUs come in different configurations. For greater precision, pick a specific config below
TGP / Version
-

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 RTX 4070 Mobile
Reasons to consider the GeForce RTX 4070 Laptop
  • Performs better (up to 19%) in 3DMark Steel Nomad Lite
  • Includes 8 GB of dedicated GDDR6 memory
  • Supports Nvidia DLSS 3 technology
Reasons to consider the Apple M1 Ultra GPU (64-core)
  • Has 3.2x higher memory bandwidth: 819.2 vs 256 GB/s
  • Has 78% more shading units (8192 vs 4608)

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
139
89
77
56
-
The Witcher 3
164
129
95
53
-
Counter-Strike 2
236
183
130
71
-
Far Cry 6
121
109
87
51
-
Hogwarts Legacy
91
77
60
28
-
CoD: Modern Warfare III
111
105
77
51
-
Ghost of Tsushima
85
69
53
29
-
Cyberpunk 2077
99
84
53
25
-
Shadow of the Tomb Raider
147
137
100
53
-
Average FPS by Resolution
1080p High 133 -
1080p Ultra 109 -
1440p Ultra 81 -
4K Ultra 46 -
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 12514 -
Solar Bay 54815 36712
Port Royal 7416 -
Fire Strike 30057 -
Wild Life Extreme 23262 29343
Night Raid 113672 -
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 158.5 img/sec 157.3 img/sec
Face Detection 116.5 img/sec 108.7 img/sec
Horizon Detection 4.35 Gpixels/sec 5.07 Gpixels/sec
Edge Detection 5.67 Gpixels/sec 10.7 Gpixels/sec
Gaussian Blur 6.44 Gpixels/sec 6.59 Gpixels/sec
Feature Matching 1.36 Gpixels/sec 0.73 Gpixels/sec
Stereo Matching 528.5 Gpixels/sec 293.4 Gpixels/sec
Particle Physics 16372.3 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 766 -
DirectX 11 177 FPS -
DirectX 12 85 FPS -
GPU Compute 8365 Ops/s -
Sources: PassMark [5] – 13217 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
3584.78
Sources: Blender [9], [10] – 2204 & 70 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
GeForce RTX 4070 Laptop
DateBenchmarkResult
📘 2026-06-05 (Wahid)Geekbench 6 OpenCL122515
📘 2026-06-05 (Wahid)Geekbench 6 OpenCL35869
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) 8642 4834
Image Segmentation (HP) 20635 14458
Image Super Resolution (Q) 26378 13757
Face Detection (HP) 39776 23618
Pose Estimation (Q) 105983 80481
Text Classification (SP) 2995 2265
Machine Translation (HP) 4507 1798
Object Detection (SP) 10198 4975
Depth Estimation (Q) 41078 25755
Style Transfer (SP) 190315 135609
Framework ONNX Core ML
Backend DirectML GPU
Sources: Geekbench [9], [10]
Results were compared using different ML frameworks

Specifications

Technical specifications of GeForce RTX 4070 Laptop and Apple M1 Ultra GPU (64-core)

General

Vendor Nvidia Apple
Build Discrete Integrated
Released February 22, 2023 March 8, 2022
Case Laptop Laptop
Purpose Gaming Professional
Segment High-end High-end
Architecture Ada Lovelace Apple M GPU
GPU Codename AD106 (GN21-X6) Custom
Rival Equivalent - - GeForce RTX 4070 Laptop
Successor - GeForce RTX 5070 Laptop -
Recommended CPU - Intel Core Ultra 7 155H or above - Apple M1 Ultra or above
Used in CPUs - - Apple M1 Ultra
Laptop GPU ranking (23rd and 32nd place)

Graphics Processing Unit

Base Clock 735-2070 MHz (configurable) 450 MHz
Boost Clock 1230-2175 MHz (configurable) 1296 MHz
Shading Units 4608 8192
Texture Mapping Units (TMUs) 144 512
Render Output Units (ROPs) 48 256
Compute Units (Pipelines) 36 1024
Tensor Cores 144 -
Ray-tracing Cores 36 -
L1 Cache 128KB per cluster -
L2 Cache 32MB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 59-104 GPixel/s 332 GPixel/s
Texture Fill Rate 177-313 GTexel/s 664 GTexel/s
FLOPS (FP32)
11.3-20 TFLOPS
21.2 TFLOPS

Physical

Interface PCIe 4.0 x16 Custom
TGP 35-140 W (configurable) 120 W
Manufacturing TSMC TSMC
Fabrication Process 5 nm 5 nm
Die Size 186 mm² -
Transistor Count 22.9 billion 92.8 billion
Transistor Density 123.12 MTr/mm² -
Max. Temperature - 94°C

Memory

Memory Type GDDR6 System Shared
Memory Size 8 GB -
Memory Clock 2000 MHz 6400 MHz
Effective Memory Speed 16000 Mbps 12800 Mbps
Bus 128-bit 1024-bit
ECC No No
Memory Bandwidth
256 GB/s
819.2 GB/s

API

DirectX 12 -
Vulkan 1.3 -
OpenGL 4.6 -
OpenCL 3.0 -
CUDA 8.9 -
Ray Tracing Yes No
DLSS DLSS 3 No
DisplayPort 1.4a -

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Total votes: 4

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