Apple M2 Pro GPU (19-core) vs M1 Pro GPU (16-core)

We compared two integrated laptop professional GPUs: the Apple M2 Pro GPU (19-core) with 304 pipelines and 2432 shaders against the 1 year and 3 months older M1 Pro GPU (16-core) that utilizes 256 pipelines and 2048 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

Key differences

Key distinctions and advantages of M1 Pro GPU (16-core) over M2 Pro GPU (19-core)
Reasons to consider the Apple M2 Pro GPU (19-core)
  • Performs better (up to 28%) in 3DMark Steel Nomad Lite
  • 28% higher maximum theoretical performance (6.8 vs 5.3 TFLOPS)

Benchmarks

Graphics cardsโ€™ 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 16218 12485
Wild Life Extreme 12726 9873
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 89.7 img/sec 74.5 img/sec
Face Detection 58 img/sec 47.3 img/sec
Horizon Detection 1.94 Gpixels/sec 1.73 Gpixels/sec
Edge Detection 3.26 Gpixels/sec 3.32 Gpixels/sec
Gaussian Blur 2.19 Gpixels/sec 1.75 Gpixels/sec
Feature Matching 0.55 Gpixels/sec 0.47 Gpixels/sec
Stereo Matching 163 Gpixels/sec 131.2 Gpixels/sec
Particle Physics 6139.2 FPS 5143 FPS
API OpenCL OpenCL
Sources: Geekbench [3], [4]

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], [10] โ€“ 207 & 502 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Apple M2 Pro GPU (19-core)
No benchmark results yet
Apple M1 Pro GPU (16-core)
DateBenchmarkResult
๐Ÿ“˜ 2026-03-27 (bbffx)Geekbench 6 OpenCL43467
๐Ÿ“˜ 2026-03-27 (bbffx)Cinebench 20242423
๐Ÿ“˜ 2026-03-27 (bbffx)Steel Nomad Light4048
๐Ÿ“˜ 2025-02-21 (serhii)Geekbench 6 OpenCL40932

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) 5279 4112
Image Segmentation (HP) 8089 7488
Image Super Resolution (Q) 15007 9882
Face Detection (HP) 19212 14702
Pose Estimation (Q) 44046 33560
Text Classification (SP) 2280 2289
Machine Translation (HP) 1972 1629
Object Detection (SP) 4941 3633
Depth Estimation (Q) 22209 16986
Style Transfer (SP) 79898 53586
Framework Core ML Core ML
Backend GPU GPU
Sources: Geekbench [9], [10]

Specifications

Technical specifications of Apple M2 Pro GPU (19-core) and M1 Pro GPU (16-core)

General

Vendor Apple Apple
Build Integrated Integrated
Released January 17, 2023 October 18, 2021
Case Laptop Laptop
Purpose Professional Professional
Segment High-end Mid-range
Architecture Apple M GPU Apple M GPU
Rival Equivalent - GeForce RTX 3050 Laptop - GeForce RTX 3050 Laptop
Successor - Apple M5 Pro GPU (20-core) - Apple M5 Pro GPU (20-core)
Recommended CPU - Apple M2 Pro or above - Apple M1 Pro or above
Used in CPUs - Apple M2 Pro - Apple M1 Pro
Laptop GPU ranking (70th and 79th place)

Graphics Processing Unit

Base Clock 450 MHz 450 MHz
Boost Clock 1398 MHz 1296 MHz
Shading Units 2432 2048
Texture Mapping Units (TMUs) 152 128
Render Output Units (ROPs) 76 64
Compute Units (Pipelines) 304 256
Ray-tracing Cores - No
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 106 GPixel/s 83 GPixel/s
Texture Fill Rate 212 GTexel/s 166 GTexel/s
FLOPS (FP32)
6.8 TFLOPS

Physical

Interface Custom Custom
TGP 35 W 30 W
Manufacturing TSMC TSMC
Fabrication Process 5 nm 5 nm
Transistor Count 26 billion 23.2 billion
Max. Temperature 94ยฐC 94ยฐC

Memory

Memory Type System Shared System Shared
Memory Clock 6400 MHz 6400 MHz
Effective Memory Speed 12800 Mbps 12800 Mbps
Bus 256-bit 256-bit
ECC No No
Memory Bandwidth

API

Ray Tracing No No
DLSS No No

Cast your vote

Choose between two graphics cards
6 (60%)
4 (40%)
Total votes: 10

User opinions

You can share your opinion or ask a question in the comments below
๐ŸŒ Register your profile and become part of NanoReview community!