Nvidia N1X (40SM) vs Apple M4 Max GPU (40-core)

We compared two integrated laptop professional GPUs: the Nvidia N1X (40SM) with 40 pipelines and 5120 shaders against the 1 year and 8 months older Apple M4 Max GPU (40-core) that utilizes 640 pipelines and 5120 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

Please note that the tests on the Nvidia N1X (40SM) 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 Max GPU (40-core) over N1X (40SM)
Reasons to consider the Nvidia N1X (40SM)
  • 53% higher maximum theoretical performance (24.8 vs 16.2 TFLOPS)
  • Supports Nvidia DLSS 4 technology
Reasons to consider the Apple M4 Max GPU (40-core)
  • Has 2x higher memory bandwidth: 546 vs 273.2 GB/s

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
Solar Bay - 61312
Wild Life Extreme - 36641
Sources: 3DMark [1]

GeekBench 6 GPU Compute

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur - 195 img/sec
Face Detection - 125.9 img/sec
Horizon Detection - 4.82 Gpixels/sec
Edge Detection - 7.47 Gpixels/sec
Gaussian Blur - 5.8 Gpixels/sec
Feature Matching - 1.06 Gpixels/sec
Stereo Matching - 417.4 Gpixels/sec
Particle Physics - 17079.9 FPS
API - OpenCL
Sources: Geekbench [3]

Cinebench 2024 GPU

Hardware benchmark using Maxon's Cinema 4D rendering engine
Cinebench 2024 GPU

Blender

Rendering performance test for 3D modeling
Blender GPU
Sources: Blender [9] – 460 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Nvidia N1X (40SM)
No benchmark results yet
Apple M4 Max GPU (40-core)
DateBenchmarkResult
📘 2025-07-10 (thomas)Geekbench 6 OpenCL116478

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) - 10302
Image Segmentation (HP) - 23763
Image Super Resolution (Q) - 29314
Face Detection (HP) - 42016
Pose Estimation (Q) - 105972
Text Classification (SP) - 2963
Machine Translation (HP) - 6594
Object Detection (SP) - 8935
Depth Estimation (Q) - 43143
Style Transfer (SP) - 221563
Framework - Core ML
Backend - GPU
Sources: Geekbench [9]

Specifications

Technical specifications of Nvidia N1X (40SM) and Apple M4 Max GPU (40-core)

General

Vendor Nvidia Apple
Build Integrated Integrated
Released June 1, 2026 October 30, 2024
Case Laptop Laptop
Purpose Professional Professional
Segment Mid-range Mid-range
Architecture Blackwell (N1x) Apple M GPU
GPU Codename GB20B Custom
Rival Equivalent - Apple M5 Max GPU (32-core) - GeForce RTX 4070 Laptop
Successor - - Apple M5 Max GPU (40-core)
Recommended CPU - Nvidia RTX Spark N1X (18-Core) or above - Apple M4 Max (16-Core) or above
Used in CPUs - - Apple M4 Max (16-Core)
Laptop GPU ranking (#14th place)

Graphics Processing Unit

Base Clock 1665 MHz 500 MHz
Boost Clock 2418 MHz 1578 MHz
Shading Units 5120 5120
Texture Mapping Units (TMUs) 160 320
Render Output Units (ROPs) 40 160
Compute Units (Pipelines) 40 640
Tensor Cores 160 -
Ray-tracing Cores 40 -
L1 Cache 128KB per cluster -
L2 Cache 24MB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 97 GPixel/s 252 GPixel/s
Texture Fill Rate 387 GTexel/s 505 GTexel/s
FLOPS (FP32)
N1X (40SM) +53%
24.8 TFLOPS
16.2 TFLOPS

Physical

Interface PCIe 5.0 x16 Custom
TGP - 50 W
Manufacturing TSMC TSMC
Fabrication Process 3 nm 3 nm
Die Size 173.6 mm² -
Max. Temperature - 100°C

Memory

Memory Type System Shared System Shared
Memory Clock - 8533 MHz
Bus 256-bit 512-bit
ECC No No
Memory Bandwidth
273.2 GB/s
546 GB/s

API

Vulkan 1.4 -
OpenCL 3.0 -
CUDA 12.1 -
Ray Tracing Yes Yes
DLSS DLSS 4 No

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