Mac17,2
Geekbench AI Score
4772
Single Precision Score
7864
Half Precision Score
6306
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 10:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2089
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
3415
635.1 IPS |
|
|
Image Classification (Q)
|
96% |
2255
421.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2993
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3545
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9639
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18437
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15886
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
97% |
3848
306.4 IPS |
|
|
Object Detection (Q)
|
94% |
2677
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
4194
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
7671
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4286
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8142
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13693
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9505
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22818
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36564
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30526
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5520
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6722
248.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4866
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3114
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5836
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5807
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4425
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8288
143.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8330
143.9 IPS |
