Mac17,2
Geekbench AI Score
5339
Single Precision Score
8649
Half Precision Score
6899
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 04:04 AM |
| Views | 7 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.5 IPS |
|
|
Image Classification (HP)
|
100% |
3672
683.0 IPS |
|
|
Image Classification (Q)
|
96% |
2518
470.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3564
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3893
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11268
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20699
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17861
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (HP)
|
97% |
4232
336.9 IPS |
|
|
Object Detection (Q)
|
94% |
2981
237.6 IPS |
|
|
Face Detection (SP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8558
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4852
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9164
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15206
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10626
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27345
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41433
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33938
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7157
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5123
189.2 IPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5627
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5045
86.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9410
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9419
162.8 IPS |
