Mac17,2
Geekbench AI Score
5314
Single Precision Score
8656
Half Precision Score
6896
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 04:06 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% |
2285
425.0 IPS |
|
|
Image Classification (HP)
|
100% |
3673
683.0 IPS |
|
|
Image Classification (Q)
|
96% |
2519
470.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3582
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3886
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11283
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20734
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17838
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
97% |
4243
337.8 IPS |
|
|
Object Detection (Q)
|
94% |
2981
237.6 IPS |
|
|
Face Detection (SP)
|
100% |
4809
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8544
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4822
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9147
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15225
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10623
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26891
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41299
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33836
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7133
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5107
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5664
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5589
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9405
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9445
163.2 IPS |
