MacBook Pro M5 Mac17,2
Geekbench AI Score
5301
Single Precision Score
8669
Half Precision Score
6926
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | WilliamTM |
| Upload Date | October 23 2025 08:38 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2294
426.6 IPS |
|
|
Image Classification (HP)
|
100% |
3763
699.9 IPS |
|
|
Image Classification (Q)
|
96% |
2555
477.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3557
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3873
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11122
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20720
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17802
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
97% |
4266
339.6 IPS |
|
|
Object Detection (Q)
|
94% |
2968
236.6 IPS |
|
|
Face Detection (SP)
|
100% |
4756
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
8426
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
4779
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9046
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15221
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10589
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27309
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41301
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33794
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7309
269.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5172
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5563
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5000
86.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9416
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9953
172.0 IPS |
