Mac17,2
Geekbench AI Score
5318
Single Precision Score
8679
Half Precision Score
6898
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | TanSteven |
| Upload Date | October 27 2025 02:17 AM |
| Views | 7 |
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% |
2299
427.5 IPS |
|
|
Image Classification (HP)
|
100% |
3709
689.8 IPS |
|
|
Image Classification (Q)
|
96% |
2530
472.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3617
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3902
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11008
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20761
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17926
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.4 IPS |
|
|
Object Detection (HP)
|
97% |
4204
334.7 IPS |
|
|
Object Detection (Q)
|
94% |
2971
236.8 IPS |
|
|
Face Detection (SP)
|
100% |
4878
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
8663
102.9 IPS |
|
|
Face Detection (Q)
|
100% |
4875
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9190
70.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15285
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10649
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27469
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41650
53.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34121
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5906
218.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7135
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5168
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5649
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5469
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4917
84.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9317
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9275
160.3 IPS |
