MacBook Pro (14-inch, 2024)
Geekbench AI Score
5371
Single Precision Score
9061
Half Precision Score
6935
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | roomac |
| Upload Date | May 13 2025 03:09 PM |
| Views | 15 |
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 (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.3 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3428
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3887
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17322
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32212
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24148
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2483
197.0 IPS |
|
|
Object Detection (HP)
|
97% |
3834
305.2 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
7694
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4641
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8522
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14962
115.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10034
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25213
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
51432
66.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39169
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10049
371.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5514
203.6 IPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5359
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5147
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5646
97.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9093
157.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9161
158.3 IPS |
