GeForce RTX 4080 Laptop vs Apple M4 Ultra GPU (80-core)

We performed a head-to-head comparison of the GeForce RTX 4080 Mobile 12 GB with 58 pipelines and 7424 shaders against the 2 years and 3 months newer Apple M4 Ultra GPU (80-core) that utilizes 1280 pipelines and 10240 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
-
Please note that the tests on the Apple M4 Ultra GPU (80-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 M4 Ultra GPU (80-core) over RTX 4080 Mobile
Reasons to consider the GeForce RTX 4080 Laptop
  • Includes 12 GB of dedicated GDDR6 memory
  • Supports Nvidia DLSS 3 technology
Reasons to consider the Apple M4 Ultra GPU (80-core)
  • Performs better (up to 34%) in 3DMark Steel Nomad Lite
  • Manufactured using a more efficient 3 nm process technology
  • Achieves 28% more points in the GeekBench 6 Compute test (218K vs 170K)
  • Has 38% more shading units (10240 vs 7424)

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
176
118
111
80
-
The Witcher 3
196
168
117
62
-
Counter-Strike 2
276
204
146
83
-
Far Cry 6
149
138
120
73
-
Hogwarts Legacy
122
103
78
42
-
CoD: Modern Warfare III
154
148
114
75
-
Ghost of Tsushima
110
90
75
45
-
Cyberpunk 2077
138
122
83
38
-
Shadow of the Tomb Raider
219
204
152
87
-
Average FPS by Resolution
1080p High 171 -
1080p Ultra 144 -
1440p Ultra 111 -
4K Ultra 65 -
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 18826 -
Solar Bay 85393 -
Port Royal 11838 -
Fire Strike 41181 -
Wild Life Extreme 36953 -
Night Raid 147086 -
Sources: 3DMark [1]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 328.9 img/sec -
Face Detection 192.3 img/sec -
Horizon Detection 6.51 Gpixels/sec -
Edge Detection 9.11 Gpixels/sec -
Gaussian Blur 10.1 Gpixels/sec -
Feature Matching 1.56 Gpixels/sec -
Stereo Matching 660.7 Gpixels/sec -
Particle Physics 20765.5 FPS -
API OpenCL OpenCL
Sources: Geekbench [3]

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 928 -
DirectX 11 241 FPS -
DirectX 12 96 FPS -
GPU Compute 10995 Ops/s -
Sources: PassMark [5] – 4043 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
Sources: Blender [9] – 1010 samples

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) 10385 -
Image Segmentation (HP) 25896 -
Image Super Resolution (Q) 27816 -
Face Detection (HP) 51976 -
Pose Estimation (Q) 142459 -
Text Classification (SP) 3405 -
Machine Translation (HP) 4860 -
Object Detection (SP) 13308 -
Depth Estimation (Q) 49203 -
Style Transfer (SP) 262792 -
Framework ONNX -
Backend DirectML -
Sources: Geekbench [9]

Specifications

Technical specifications of GeForce RTX 4080 Laptop and Apple M4 Ultra GPU (80-core)

General

Vendor Nvidia Apple
Build Discrete Integrated
Released February 8, 2023 May 1, 2025
Case Laptop Laptop
Purpose Gaming Professional
Segment High-end High-end
Architecture Ada Lovelace Apple M GPU
GPU Codename AD104 (GN21-X9) Custom
Rival Equivalent - Radeon RX 7900M - GeForce RTX 5080
Successor - GeForce RTX 5080 Laptop -
Recommended CPU - Intel Core Ultra 9 185H or above - Apple M4 Ultra or above
Used in CPUs - - Apple M4 Ultra
Laptop GPU ranking (#10th place)

Graphics Processing Unit

Base Clock 1290-1860 MHz (configurable) 500 MHz
Boost Clock 1665-2280 MHz (configurable) 1578 MHz
Shading Units 7424 10240
Texture Mapping Units (TMUs) 232 640
Render Output Units (ROPs) 80 320
Compute Units (Pipelines) 58 1280
Tensor Cores 232 -
Ray-tracing Cores 58 -
L1 Cache 128KB per cluster -
L2 Cache 48MB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 133-182 GPixel/s 505 GPixel/s
Texture Fill Rate 386-529 GTexel/s 1010 GTexel/s
FLOPS (FP32)
24.7-33.9 TFLOPS

Physical

Interface PCIe 4.0 x16 Custom
TGP 60-175 W (configurable) 120 W
Manufacturing TSMC TSMC
Fabrication Process 5 nm 3 nm
Die Size 295 mm² -
Transistor Count 35.8 billion -
Transistor Density 121.36 MTr/mm² -

Memory

Memory Type GDDR6 System Shared
Memory Size 12 GB -
Memory Clock 2250 MHz 8533 MHz
Effective Memory Speed 18000 Mbps -
Bus 192-bit 1024-bit
ECC No No
Memory Bandwidth

API

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

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8 (44.4%)
10 (55.6%)
Total votes: 18

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