GeForce RTX 5080 vs Apple M4 Ultra GPU (80-core)

We performed a head-to-head comparison of the GeForce RTX 5080 16 GB with 84 pipelines and 10752 shaders against the 4 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 5080
Reasons to consider the GeForce RTX 5080
  • Performs significantly better (up to 40%) in 3DMark Steel Nomad Lite
  • 74% higher maximum theoretical performance (56.3 vs 32.3 TFLOPS)
  • Supports Nvidia DLSS 4 technology
  • Achieves 36% more points in the GeekBench 6 Compute test (297K vs 218K)
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
250
186
179
138
-
The Witcher 3
271
244
172
90
-
Counter-Strike 2
317
238
178
87
-
Far Cry 6
194
171
155
97
-
Hogwarts Legacy
185
152
124
67
-
CoD: Modern Warfare III
250
244
197
135
-
Ghost of Tsushima
166
142
126
82
-
Cyberpunk 2077
213
192
138
61
-
Shadow of the Tomb Raider
306
276
214
111
-
Average FPS by Resolution
1080p High 239 -
1080p Ultra 205 -
1440p Ultra 165 -
4K Ultra 96 -
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 5080 +40%
36188
Time Spy 33000 -
Solar Bay 161489 -
Port Royal 23275 -
Fire Strike 75605 -
Wild Life Extreme 69617 -
Night Raid 199650 -
Sources: 3DMark [1]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
RTX 5080 +36%
297747
Background Blur 319.6 img/sec -
Face Detection 225 img/sec -
Horizon Detection 13.6 Gpixels/sec -
Edge Detection 19.5 Gpixels/sec -
Gaussian Blur 20.4 Gpixels/sec -
Feature Matching 2.33 Gpixels/sec -
Stereo Matching 1750 Gpixels/sec -
Particle Physics 43676.6 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 1397 -
DirectX 11 327 FPS -
DirectX 12 145 FPS -
GPU Compute 19034 Ops/s -
Sources: PassMark [5] – 19559 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
Sources: Blender [9] – 3654 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
GeForce RTX 5080
DateBenchmarkResult
📘 2026-06-01 (Nowh)Cinebench 202495861
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) 15441 -
Image Segmentation (HP) 47173 -
Image Super Resolution (Q) 43223 -
Face Detection (HP) 92863 -
Pose Estimation (Q) 202202 -
Text Classification (SP) 3701 -
Machine Translation (HP) 7905 -
Object Detection (SP) 20955 -
Depth Estimation (Q) 69068 -
Style Transfer (SP) 349205 -
Framework ONNX -
Backend DirectML -
Sources: Geekbench [9]

Specifications

Technical specifications of GeForce RTX 5080 and Apple M4 Ultra GPU (80-core)

General

Vendor Nvidia Apple
Build Discrete Integrated
Released January 7, 2025 May 1, 2025
Launch price (MSRP) $999 -
Case Desktop Laptop
Purpose Gaming Professional
Segment High-end High-end
Architecture Blackwell 2.0 Apple M GPU
GPU Codename GB203-400 Custom
Rival Equivalent - - GeForce RTX 5080
Recommended CPU - Intel Core Ultra 7 265K or above - Apple M4 Ultra or above
Used in CPUs - - Apple M4 Ultra
Desktop GPU rating (#4th place)

Graphics Processing Unit

Base Clock 2295 MHz 500 MHz
Boost Clock 2617 MHz 1578 MHz
Shading Units 10752 10240
Texture Mapping Units (TMUs) 336 640
Render Output Units (ROPs) 112 320
Compute Units (Pipelines) 84 1280
Tensor Cores 336 -
Ray-tracing Cores 84 -
L1 Cache 128KB per cluster -
L2 Cache 64MB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 293 GPixel/s 505 GPixel/s
Texture Fill Rate 879 GTexel/s 1010 GTexel/s
FLOPS (FP32)
RTX 5080 +74%
56.3 TFLOPS

Physical

Interface PCIe 5.0 x16 Custom
TGP 360 W 120 W
Manufacturing TSMC TSMC
Fabrication Process 4 nm 3 nm
Die Size 378 mm² -
Transistor Count 45.6 billion -
Transistor Density 120.63 MTr/mm² -

Memory

Memory Type GDDR7 System Shared
Memory Size 16 GB -
Memory Clock 1875 MHz 8533 MHz
Effective Memory Speed 30000 Mbps -
Bus 256-bit 1024-bit
ECC No No
Memory Bandwidth

API

DirectX 12.2 -
Vulkan 1.4 -
OpenGL 4.6 -
OpenCL 3.0 -
CUDA 12.0 -
Ray Tracing Yes Yes
DLSS DLSS 4 No
DisplayPort 2.1b -

Cast your vote

Choose between two graphics cards
32 (86.5%)
5 (13.5%)
Total votes: 37

User opinions

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ComputerNerd March 5, 2025 at 06:46 PM
Lol... 56.3 TFLOPs vs 36.9 TFLOPs. Nvidia has a 52.5% more GPU raw performance. I do want to point out that the M4 Ultra is using far less TGP. 120 TDP vs 360 by Nvidia RTX 5080. Nvidia needed 200% more TDP to outperform on the GPU performance.
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AverageLinuxEnthusiast March 4, 2026 at 02:49 PM
Doesn’t really matter if you need peak performance. Plus, Nvidia has CUDA cores which are really helpful in more demanding workflows. Also worth adding that Apple devices are designed for 10-year olds.
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