MacBook Pro (14-inch, 2025) Mac17,2
Geekbench AI Score
5325
Single Precision Score
8715
Half Precision Score
6895
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vtomi07 |
| Upload Date | October 29 2025 05:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2260
420.2 IPS |
|
|
Image Classification (HP)
|
100% |
3697
687.5 IPS |
|
|
Image Classification (Q)
|
96% |
2527
472.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2477
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3656
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3901
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11310
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20759
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17826
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (HP)
|
97% |
4248
338.2 IPS |
|
|
Object Detection (Q)
|
94% |
2977
237.3 IPS |
|
|
Face Detection (SP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8555
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
4825
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9142
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15243
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10474
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27407
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41375
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33900
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7245
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5141
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5709
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4988
85.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9502
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9553
165.1 IPS |
