Mac17,2
Geekbench AI Score
5332
Single Precision Score
8648
Half Precision Score
6842
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 27 2025 09:29 PM |
| Views | 2 |
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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2300
427.8 IPS |
|
|
Image Classification (HP)
|
100% |
3706
689.1 IPS |
|
|
Image Classification (Q)
|
96% |
2511
468.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3612
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3865
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11340
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20709
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17749
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
97% |
4177
332.5 IPS |
|
|
Object Detection (Q)
|
94% |
2954
235.4 IPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8522
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4764
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9088
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15179
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10574
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27264
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41306
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33749
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7210
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5160
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5600
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5052
87.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9376
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9071
156.7 IPS |
