MacBook Pro (14-inch, 2024)
Geekbench AI Score
5384
Single Precision Score
8903
Half Precision Score
6943
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 06 2025 07:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.50 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% |
3032
564.0 IPS |
|
|
Image Classification (Q)
|
96% |
2168
404.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3866
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17371
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31177
36.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24292
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
4674
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
7866
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4562
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8632
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14089
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10204
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25919
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
47980
61.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38629
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5959
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9944
367.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5698
210.4 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5158
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5274
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5606
96.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8918
154.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8858
153.1 IPS |
