Mac17,2
Geekbench AI Score
5329
Single Precision Score
8648
Half Precision Score
6890
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 06:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A8353) |
| 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% |
2274
422.8 IPS |
|
|
Image Classification (HP)
|
100% |
3658
680.2 IPS |
|
|
Image Classification (Q)
|
96% |
2512
469.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3569
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3898
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11332
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20830
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17932
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2696
213.8 IPS |
|
|
Object Detection (HP)
|
97% |
4208
335.0 IPS |
|
|
Object Detection (Q)
|
94% |
2988
238.2 IPS |
|
|
Face Detection (SP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
8617
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
4853
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9129
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15228
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10618
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27489
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41477
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33969
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7131
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5151
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5599
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5438
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5075
87.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9411
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9377
162.0 IPS |
