Mac17,2
Geekbench AI Score
5338
Single Precision Score
8637
Half Precision Score
6924
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ace847593 |
| Upload Date | January 02 2026 09:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2278
423.6 IPS |
|
|
Image Classification (HP)
|
100% |
3548
659.8 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3563
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3900
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11169
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20688
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17871
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (HP)
|
97% |
4225
336.4 IPS |
|
|
Object Detection (Q)
|
94% |
2973
237.0 IPS |
|
|
Face Detection (SP)
|
100% |
4914
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
8643
102.7 IPS |
|
|
Face Detection (Q)
|
100% |
4875
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9085
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15223
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10599
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27527
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41606
53.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34048
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5886
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7299
269.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5197
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5633
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5529
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5119
88.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9298
160.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9695
167.5 IPS |
