Nvidia RTX A1000 Laptop vs Apple M3 Pro GPU (18-core)

We performed a head-to-head comparison of the Nvidia RTX A1000 Mobile 4 GB with 16 pipelines and 2048 shaders against the 1 year and 8 months newer Apple M3 Pro GPU (18-core) that utilizes 288 pipelines and 2304 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 M3 Pro GPU (18-core) over RTX A1000 Mobile
Reasons to consider the Nvidia RTX A1000 Laptop
  • Includes 4 GB of dedicated GDDR6 memory
  • Supports Nvidia DLSS 2 technology
Reasons to consider the Apple M3 Pro GPU (18-core)
  • Performs better (up to 22%) in 3DMark Steel Nomad Lite
  • 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
75
45
35
22
-
The Witcher 3
67
52
37
18
-
Counter-Strike 2
115
78
53
23
-
Far Cry 6
57
51
38
18
-
Hogwarts Legacy
38
29
24
12
-
CoD: Modern Warfare III
46
36
27
18
-
Ghost of Tsushima
36
24
21
10
-
Cyberpunk 2077
38
35
20
9
-
Shadow of the Tomb Raider
66
60
40
19
-
Average FPS by Resolution
1080p High 60 -
1080p Ultra 46 -
1440p Ultra 33 -
4K Ultra 17 -
Margin of Error High Medium

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
Time Spy 4657 -
Solar Bay 21233 22637
Port Royal 577 -
Fire Strike 12109 -
Wild Life Extreme - 14021
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 80.6 img/sec 82.1 img/sec
Face Detection 47.7 img/sec 53.6 img/sec
Horizon Detection 2.14 Gpixels/sec 1.82 Gpixels/sec
Edge Detection 2.82 Gpixels/sec 2.59 Gpixels/sec
Gaussian Blur 2 Gpixels/sec 1.84 Gpixels/sec
Feature Matching 0.61 Gpixels/sec 0.48 Gpixels/sec
Stereo Matching 199.8 Gpixels/sec 148.6 Gpixels/sec
Particle Physics 6124.5 FPS 4893.9 FPS
API OpenCL OpenCL
Sources: Geekbench [3], [4]

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 524 -
DirectX 11 64 FPS -
DirectX 12 47 FPS -
GPU Compute 3834 Ops/s -
Sources: PassMark [5] – 1148 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
1692.54
Sources: Blender [9], [10] – 30 & 240 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) 4109 5578
Image Segmentation (HP) 10426 9924
Image Super Resolution (Q) 8368 13323
Face Detection (HP) 18130 19900
Pose Estimation (Q) 32595 35730
Text Classification (SP) 2340 2904
Machine Translation (HP) 3225 4985
Object Detection (SP) 4684 5496
Depth Estimation (Q) 16324 23344
Style Transfer (SP) 70507 78342
Framework ONNX Core ML
Backend DirectML GPU
Sources: Geekbench [9], [10]
Results were compared using different ML frameworks

Specifications

Technical specifications of Nvidia RTX A1000 Laptop and Apple M3 Pro GPU (18-core)

General

Vendor Nvidia Apple
Build Discrete Integrated
Released March 30, 2022 October 31, 2023
Case Laptop Laptop
Purpose Professional Professional
Segment Entry-level Mid-range
Architecture Ampere Apple M GPU
GPU Codename GA107 Custom
Rival Equivalent - - GeForce RTX 4060 Laptop
Successor - Nvidia RTX 1000 Laptop (Ada) - Apple M5 Pro GPU (20-core)
Recommended CPU - Intel Core i7 12800H or above - Apple M3 Pro or above
Used in CPUs - - Apple M3 Pro
Laptop GPU ranking (90th and 69th place)

Graphics Processing Unit

Base Clock 712-1530 MHz (configurable) 500 MHz
Boost Clock 1057-1740 MHz (configurable) 1380 MHz
Shading Units 2048 2304
Texture Mapping Units (TMUs) 64 144
Render Output Units (ROPs) 32 72
Compute Units (Pipelines) 16 288
Tensor Cores 64 -
Ray-tracing Cores 16 -
L1 Cache 128KB per cluster -
L2 Cache 2MB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 34-56 GPixel/s 99 GPixel/s
Texture Fill Rate 68-111 GTexel/s 199 GTexel/s
FLOPS (FP32)
4.3-7.1 TFLOPS

Physical

Interface PCIe 4.0 x8 Custom
TGP 35-95 W (configurable) 30 W
Manufacturing Samsung TSMC
Fabrication Process 8 nm 3 nm
Die Size 200 mm² -
Transistor Count 8.7 billion 25.2 billion
Transistor Density 43.5 MTr/mm² -
Max. Temperature - 100°C

Memory

Memory Type GDDR6 System Shared
Memory Size 4 GB -
Memory Clock 1375 MHz 6400 MHz
Effective Memory Speed 11000 Mbps 12800 Mbps
Bus 128-bit 192-bit
ECC No No
Memory Bandwidth
176 GB/s

API

DirectX 12 -
Vulkan 1.3 -
OpenGL 4.6 -
OpenCL 3.0 -
CUDA 8.6 -
Ray Tracing Yes Yes
DLSS DLSS 2 No
DisplayPort 1.4a -

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