MacBook Pro (16-inch, 2024)
Geekbench AI Score
5371
Single Precision Score
8916
Half Precision Score
6951
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Omar-Muhamad |
| Upload Date | June 24 2025 01:19 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
2999
557.7 IPS |
|
|
Image Classification (Q)
|
96% |
2161
403.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3529
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3888
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17245
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31942
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23845
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.4 IPS |
|
|
Object Detection (HP)
|
97% |
3793
302.0 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
7805
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4613
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8587
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13765
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9876
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25932
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48739
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38506
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5948
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10001
369.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5997
221.4 IPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5180
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5204
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5622
96.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9132
157.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9106
157.4 IPS |
