Mac17,2
Geekbench AI Score
5241
Single Precision Score
43315
Half Precision Score
60777
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 08:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2220
412.9 IPS |
|
|
Image Classification (HP)
|
100% |
19099
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
25777
4.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24358
394.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33669
545.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11028
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178615
208.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
334828
392.4 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (HP)
|
100% |
19657
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
27899
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
4609
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
47257
561.5 IPS |
|
|
Face Detection (Q)
|
100% |
67543
802.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9075
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
114455
881.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
192916
1.51 KIPS |
|
|
Style Transfer (SP)
|
100% |
25785
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
274584
353.0 IPS |
|
|
Style Transfer (Q)
|
96% |
379143
489.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6078
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67949
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
109065
4.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3086
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
7725
10.3 KIPS |
|
|
Text Classification (Q)
|
93% |
8202
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
4873
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
18260
314.5 IPS |
|
|
Machine Translation (Q)
|
98% |
19197
331.7 IPS |
