GeForce RTX 4090 vs Apple M4 Ultra GPU (80-core)

We performed a head-to-head comparison of the GeForce RTX 4090 24 GB with 128 pipelines and 16384 shaders against the 2 years and 8 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.

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 4090
Reasons to consider the GeForce RTX 4090
  • Performs significantly better (up to 63%) in 3DMark Steel Nomad Lite
  • 2.6x higher maximum theoretical performance (82.6 vs 32.3 TFLOPS)
  • Supports Nvidia DLSS 3 technology
  • Achieves 45% more points in the GeekBench 6 Compute test (316K vs 218K)
  • Has 60% more shading units (16384 vs 10240)
Reasons to consider the Apple M4 Ultra GPU (80-core)
  • Manufactured using a more efficient 3 nm process technology

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
275
199
193
155
-
The Witcher 3
292
268
191
101
-
Counter-Strike 2
339
238
188
90
-
Far Cry 6
203
179
170
104
-
Hogwarts Legacy
200
163
132
74
-
CoD: Modern Warfare III
266
263
219
151
-
Ghost of Tsushima
188
152
137
91
-
Cyberpunk 2077
226
208
143
66
-
Shadow of the Tomb Raider
302
284
222
118
-
Average FPS by Resolution
1080p High 255 -
1080p Ultra 217 -
1440p Ultra 177 -
4K Ultra 106 -
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
RTX 4090 +63%
42169
Time Spy 36299 -
Solar Bay 187525 -
Port Royal 26127 -
Fire Strike 72432 -
Wild Life Extreme 85218 -
Night Raid 195813 -
Sources: 3DMark [1]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
RTX 4090 +45%
316301
Background Blur 318.9 img/sec -
Face Detection 222.8 img/sec -
Horizon Detection 14.2 Gpixels/sec -
Edge Detection 21 Gpixels/sec -
Gaussian Blur 23.9 Gpixels/sec -
Feature Matching 2.38 Gpixels/sec -
Stereo Matching 1950 Gpixels/sec -
Particle Physics 48090.4 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 1303 -
DirectX 11 323 FPS -
DirectX 12 151 FPS -
GPU Compute 25991 Ops/s -
Sources: PassMark [5] – 22563 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
Sources: Blender [9] – 8966 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
GeForce RTX 4090
DateBenchmarkResult
📘 2026-10-06 (Devansh)Geekbench 6 OpenCL394674
📘 2026-10-06 (Devansh)Geekbench 7 OpenCL338129
📘 2026-04-03 (afroman420IU)Cinebench 202432578
Apple M4 Ultra GPU (80-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) 15600 -
Image Segmentation (HP) 36657 -
Image Super Resolution (Q) 48114 -
Face Detection (HP) 78111 -
Pose Estimation (Q) 289639 -
Text Classification (SP) 4074 -
Machine Translation (HP) 6349 -
Object Detection (SP) 21186 -
Depth Estimation (Q) 75599 -
Style Transfer (SP) 601428 -
Framework ONNX -
Backend DirectML -
Sources: Geekbench [9]

Specifications

Technical specifications of GeForce RTX 4090 and Apple M4 Ultra GPU (80-core)

General

Vendor Nvidia Apple
Build Discrete Integrated
Released September 20, 2022 May 1, 2025
Launch price (MSRP) $1599 -
Case Desktop Laptop
Purpose Gaming Professional
Segment High-end High-end
Architecture Ada Lovelace Apple M GPU
GPU Codename AD102 Custom
Rival Equivalent - - GeForce RTX 5080
Successor - GeForce RTX 5090 -
Recommended CPU - Intel Core i9 14900K or above - Apple M4 Ultra or above
Used in CPUs - - Apple M4 Ultra
Desktop GPU rating (#3rd place)

Graphics Processing Unit

Base Clock 2235 MHz 500 MHz
Boost Clock 2520 MHz 1578 MHz
Shading Units 16384 10240
Texture Mapping Units (TMUs) 512 640
Render Output Units (ROPs) 176 320
Compute Units (Pipelines) 128 1280
Tensor Cores 512 -
Ray-tracing Cores 128 -
L1 Cache 128KB per cluster -
L2 Cache 72MB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 444 GPixel/s 505 GPixel/s
Texture Fill Rate 1290 GTexel/s 1010 GTexel/s
FLOPS (FP32)
RTX 4090 +156%
82.6 TFLOPS

Physical

Interface PCIe 4.0 x16 Custom
TGP 450 W 120 W
Manufacturing TSMC TSMC
Fabrication Process 5 nm 3 nm
Die Size 609 mm² -
Transistor Count 76.3 billion -
Transistor Density 125.29 MTr/mm² -

Memory

Memory Type GDDR6X System Shared
Memory Size 24 GB -
Memory Clock 2625 MHz 8533 MHz
Effective Memory Speed 21000 Mbps -
Bus 384-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 -

Cast your vote

Choose between two graphics cards
57 (64%)
32 (36%)
Total votes: 89

User opinions

You can share your opinion or ask a question in the comments below
🌐 Register your profile and become part of DeviceFacts community!