MacBook Pro (16-inch, 2024)
Geekbench AI Score
5760
Single Precision Score
8872
Half Precision Score
6918
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | zwehrman |
| Upload Date | March 22 2025 01:38 PM |
| Views | 5 |
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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3028
563.2 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3926
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18939
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31589
36.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24095
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.6 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
4524
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
7854
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4640
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8690
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14002
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9941
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35027
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48674
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38403
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6999
258.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9584
353.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5635
208.1 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5282
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5221
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5749
99.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8724
150.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8733
150.9 IPS |
