MacBook Pro (14-inch, 2024)
Geekbench AI Score
5712
Single Precision Score
9248
Half Precision Score
7155
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 17 2025 03:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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% |
2143
398.6 IPS |
|
|
Image Classification (HP)
|
100% |
2953
549.2 IPS |
|
|
Image Classification (Q)
|
96% |
2146
400.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2390
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3482
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3876
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17380
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33978
39.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26536
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
97% |
3848
306.3 IPS |
|
|
Object Detection (Q)
|
94% |
2735
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
4988
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
8521
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4777
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8687
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14873
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9873
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30298
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56434
72.5 IPS |
|
|
Style Transfer (Q)
|
96% |
43459
56.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7078
261.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9341
344.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5713
211.0 IPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5377
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5286
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5555
95.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9476
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9416
162.7 IPS |
