Nvidia N1X (40SM) vs Apple M5 Max GPU (32-core)

We compared two integrated laptop professional GPUs: the Nvidia N1X (40SM) with 40 pipelines and 5120 shaders against the 3 months older Apple M5 Max GPU (32-core) that utilizes 512 pipelines and 4096 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 M5 Max GPU (32-core) over N1X (40SM)
Reasons to consider the Nvidia N1X (40SM)
  • 86% higher maximum theoretical performance (24.8 vs 13.3 TFLOPS)
  • Supports Nvidia DLSS 4 technology
  • Has 25% more shading units (5120 vs 4096)
Reasons to consider the Apple M5 Max GPU (32-core)
  • Has 69% higher memory bandwidth: 460.8 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 - 69788
Wild Life Extreme - 35786
Sources: 3DMark [1]

GeekBench 6 GPU Compute

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur - 234.8 img/sec
Face Detection - 158.1 img/sec
Horizon Detection - 4.48 Gpixels/sec
Edge Detection - 6.62 Gpixels/sec
Gaussian Blur - 7.19 Gpixels/sec
Feature Matching - 1.17 Gpixels/sec
Stereo Matching - 384.9 Gpixels/sec
Particle Physics - 17866.8 FPS
API - OpenCL
Sources: Geekbench [3]

Blender

Rendering performance test for 3D modeling
Blender GPU
Sources: Blender [9] – 37 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) - 10338
Image Segmentation (HP) - 42053
Image Super Resolution (Q) - 41729
Face Detection (HP) - 71929
Pose Estimation (Q) - 287035
Text Classification (SP) - 2958
Machine Translation (HP) - 9156
Object Detection (SP) - 9951
Depth Estimation (Q) - 82338
Style Transfer (SP) - 264780
Framework - Core ML
Backend - GPU
Sources: Geekbench [9]

Specifications

Technical specifications of Nvidia N1X (40SM) and Apple M5 Max GPU (32-core)

General

Vendor Nvidia Apple
Build Integrated Integrated
Released June 1, 2026 March 3, 2026
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) -
Recommended CPU - Nvidia RTX Spark N1X (18-Core) or above - Apple M5 Max (32-сore GPU) or above
Used in CPUs - - Apple M5 Max (32-сore GPU)
Laptop GPU ranking (#9th place)

Graphics Processing Unit

Base Clock 1665 MHz -
Boost Clock 2418 MHz 1620 MHz
Shading Units 5120 4096
Texture Mapping Units (TMUs) 160 256
Render Output Units (ROPs) 40 128
Compute Units (Pipelines) 40 512
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 207 GPixel/s
Texture Fill Rate 387 GTexel/s 415 GTexel/s
FLOPS (FP32)
N1X (40SM) +86%
24.8 TFLOPS
13.3 TFLOPS

Physical

Interface PCIe 5.0 x16 Custom
Manufacturing TSMC TSMC
Fabrication Process 3 nm 3 nm
Die Size 173.6 mm² -
Transistor Count - 28 billion
Max. Temperature - 100°C

Memory

Memory Type System Shared System Shared
Memory Clock - 9600 MHz
Bus 256-bit 384-bit
ECC No No
Memory Bandwidth
273.2 GB/s
460.8 GB/s

API

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

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