MacBook Pro (16-inch, 2024)
Geekbench AI Score
5374
Single Precision Score
8961
Half Precision Score
6940
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 10:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3007
559.1 IPS |
|
|
Image Classification (Q)
|
96% |
2166
404.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3384
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3909
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17353
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31425
36.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24192
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.4 IPS |
|
|
Object Detection (HP)
|
97% |
3719
296.1 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
4651
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
7928
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
4588
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8620
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14707
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10024
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25275
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51277
65.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38681
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9978
368.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5721
211.2 IPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5151
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5128
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5671
97.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9139
157.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9155
158.2 IPS |
