MacBook Pro (14-inch, 2024)
Geekbench AI Score
5348
Single Precision Score
9081
Half Precision Score
6998
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 04 2025 07:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2042
379.7 IPS |
|
|
Image Classification (HP)
|
100% |
3099
576.4 IPS |
|
|
Image Classification (Q)
|
96% |
2123
396.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3517
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3766
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16159
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32388
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24706
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
97% |
3776
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
4538
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
7825
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
4573
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8570
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14488
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10353
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26560
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
51217
65.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39424
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5962
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10033
370.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6046
223.3 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5502
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5417
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5698
98.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8931
154.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8770
151.6 IPS |
