Macbook Pro M5 Mac17,2
Geekbench AI Score
5256
Single Precision Score
8621
Half Precision Score
6852
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | avandeputte |
| Upload Date | December 11 2025 06:58 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2250
418.5 IPS |
|
|
Image Classification (HP)
|
100% |
3606
670.7 IPS |
|
|
Image Classification (Q)
|
96% |
2519
470.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3635
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3811
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11036
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20757
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17751
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2605
206.6 IPS |
|
|
Object Detection (HP)
|
97% |
4065
323.6 IPS |
|
|
Object Detection (Q)
|
94% |
2883
229.8 IPS |
|
|
Face Detection (SP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8193
97.4 IPS |
|
|
Face Detection (Q)
|
100% |
4695
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8984
69.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14939
115.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10429
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26902
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41084
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33694
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5977
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7445
274.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5169
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3105
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5814
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5767
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5017
86.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9427
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9443
163.2 IPS |
