MacBook Pro (16-inch, 2024)/M4 Pro MacBook Pro (16-inch, 2024)
Geekbench AI Score
5755
Single Precision Score
8874
Half Precision Score
6870
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 21 2025 05:37 AM |
| Views | 11 |
| Notes | MacBook Pro (16-inch, 2024)/M4 Pro 14Core CPU/20Core GPU |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
3019
561.5 IPS |
|
|
Image Classification (Q)
|
96% |
2175
406.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3453
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3929
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18813
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31684
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24326
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
97% |
3814
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
4557
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
7859
93.4 IPS |
|
|
Face Detection (Q)
|
100% |
4630
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8797
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14472
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10214
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35602
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50171
64.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38806
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6980
257.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9519
351.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5268
194.5 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5120
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5739
98.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8565
148.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8599
148.6 IPS |
