Mac17,2
Geekbench AI Score
5334
Single Precision Score
8697
Half Precision Score
6898
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 12:18 PM |
| Views | 2 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2289
425.7 IPS |
|
|
Image Classification (HP)
|
100% |
3718
691.5 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2458
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3668
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3875
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11251
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20768
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17822
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2685
212.9 IPS |
|
|
Object Detection (HP)
|
97% |
4227
336.5 IPS |
|
|
Object Detection (Q)
|
94% |
2984
237.8 IPS |
|
|
Face Detection (SP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8576
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4817
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9071
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15236
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10631
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27283
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41290
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33802
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5989
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7200
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5166
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5531
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5089
87.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9635
166.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9494
164.1 IPS |
