Mac17,2
Geekbench AI Score
5323
Single Precision Score
8694
Half Precision Score
6912
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 15 2025 03:29 AM |
| Views | 5 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2271
422.4 IPS |
|
|
Image Classification (HP)
|
100% |
3718
691.5 IPS |
|
|
Image Classification (Q)
|
96% |
2536
473.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3670
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3902
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10923
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20851
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17950
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (HP)
|
97% |
4213
335.4 IPS |
|
|
Object Detection (Q)
|
94% |
2972
236.9 IPS |
|
|
Face Detection (SP)
|
100% |
4801
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8562
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4844
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9139
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15253
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10631
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27474
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41548
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34059
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5958
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7208
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5168
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3069
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5601
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5086
87.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9406
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9338
161.4 IPS |
