Mac17,2
Geekbench AI Score
5276
Single Precision Score
8580
Half Precision Score
6833
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | namping |
| Upload Date | December 22 2025 06:25 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2279
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
3661
680.9 IPS |
|
|
Image Classification (Q)
|
96% |
2517
470.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3544
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3831
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10921
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20825
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17804
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.6 IPS |
|
|
Object Detection (HP)
|
97% |
4123
328.2 IPS |
|
|
Object Detection (Q)
|
94% |
2918
232.6 IPS |
|
|
Face Detection (SP)
|
100% |
4742
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8441
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4733
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9052
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15177
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10584
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27511
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41211
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33639
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5983
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7253
267.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5164
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5428
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5446
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5027
86.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9346
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9355
161.7 IPS |
