Nvidia N1X (48SM) vs Apple M5 Max GPU (40-core)

We compared two integrated laptop professional GPUs: the Nvidia N1X (48SM) with 48 pipelines and 6144 shaders against the 3 months older Apple M5 Max GPU (40-core) that utilizes 640 pipelines and 5120 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

Review

General comparison of performance in games, applications, power efficiency, and other metrics
Gaming
Performance in DirectX, OpenCL, and Vulkan games
Workstation
Perf. in 3D modeling, video editing and rendering apps
AI/ML
Capabilities for machine learning and AI-related tasks
Energy Efficiency
Power consumption efficiency in different scenarios
NanoReview Final Score
Overall video card score
Scores marked with a red asterisk (**) represent initial estimates from early testing.

Key differences

Key distinctions and advantages of M5 Max GPU (40-core) over N1X (48SM)
Reasons to consider the Nvidia N1X (48SM)
  • 88% higher maximum theoretical performance (31.2 vs 16.6 TFLOPS)
  • Supports Nvidia DLSS 4 technology
Reasons to consider the Apple M5 Max GPU (40-core)
  • Performs significantly better (up to 6.1x) in 3DMark Steel Nomad Lite
  • Achieves 50.1x more points in the GeekBench 6 Compute test (146K vs 2K)

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
2924
17718
Solar Bay - 79229
Wild Life Extreme - 42463
Sources: 3DMark [1]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
2924
146407
Background Blur - 257 img/sec
Face Detection - 182.1 img/sec
Horizon Detection - 5.4 Gpixels/sec
Edge Detection - 8.33 Gpixels/sec
Gaussian Blur - 8.86 Gpixels/sec
Feature Matching - 1.28 Gpixels/sec
Stereo Matching - 455.4 Gpixels/sec
Particle Physics - 21658 FPS
API OpenCL 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
403.37
8112.54
Sources: Blender [9], [10] – 6 & 250 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Nvidia N1X (48SM)
No benchmark results yet
Apple M5 Max GPU (40-core)
DateBenchmarkResult
📘 2026-04-16 -> Apple loverGeekbench 6 OpenCL146276
📘 2026-03-25 (Steven)Cinebench 20249283
📘 2026-03-25 (Steven)Steel Nomad Light18486

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) - 10711
Image Segmentation (HP) - 42406
Image Super Resolution (Q) - 42905
Face Detection (HP) - 73489
Pose Estimation (Q) - 289766
Text Classification (SP) - 6087
Machine Translation (HP) - 8881
Object Detection (SP) - 10130
Depth Estimation (Q) - 84224
Style Transfer (SP) - 264552
Framework - Core ML
Backend - GPU
Sources: Geekbench [9]

Specifications

Technical specifications of Nvidia N1X (48SM) and Apple M5 Max GPU (40-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 (40-core) -
Recommended CPU - Nvidia RTX Spark N1X (20-Core) or above - Apple M5 Max (40-сore GPU) or above
Used in CPUs - Nvidia RTX Spark N1X (20-Core) - Apple M5 Max (40-сore GPU)
Laptop GPU ranking (38th and 9th place)

Graphics Processing Unit

Base Clock 1665 MHz -
Boost Clock 2535 MHz 1620 MHz
Shading Units 6144 5120
Texture Mapping Units (TMUs) 192 320
Render Output Units (ROPs) 48 160
Compute Units (Pipelines) 48 640
Tensor Cores 192 -
Ray-tracing Cores 48 -
L1 Cache 128KB per cluster -
L2 Cache 24MB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 122 GPixel/s 259 GPixel/s
Texture Fill Rate 487 GTexel/s 518 GTexel/s
FLOPS (FP32)
N1X (48SM) +88%
31.2 TFLOPS
16.6 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 - 512-bit
ECC No No
Memory Bandwidth

API

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

Cast your vote

Choose between two graphics cards
16 (44.4%)
20 (55.6%)
Total votes: 36

User opinions

You can share your opinion or ask a question in the comments below
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1.8nm October 16, 2026 at 02:41 PM
This is kinda weird that n1x igpu is very weak
0 Reply
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This is suspicious July 14, 2026 at 09:19 PM
Kinda suspicious all the GPU benchmarks are left blank lol Apple has been known for paid for reviews for a long time, some things never change. This is also not a 1:1 comparison M5 max uses over 200 watts full tilt. N1x uses 80 watts. Funny how Apple only brings up power efficiency when it is useful for them
+3 Reply
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??? October 16, 2026 at 02:57 PM
Only 100w not 200, are u blind?
0 Reply
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Dumbass October 16, 2026 at 03:28 PM
Is there any proof of apple actively paying reviewers to say good things about apple? I don't think I've seen a single reviewer say they've been paid off by apple to say anything good about them. Also, the m5 max uses 140watts for the total package, CPU + GPU also it isn't apples or nano reviews fault Nvidia chose to keep the n1x's power draw at 80 watts, and to truly know which one is more effecient, we'd need to know the performance. Ie: 10nm chip using 10 watts, horrid performance, 3nm chip using 80 watts and gets more than 8x it's performance.
0 Reply
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What r u talking abt? October 18, 2026 at 08:31 PM
M5 max 100W RTX Spark 85W
0 Reply