Mac17,2
Geekbench AI Score
13169
Single Precision Score
24715
Half Precision Score
23649
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 12:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6336
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11063
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
9810
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10192
165.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16757
271.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17280
280.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
39582
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103447
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
111480
130.7 IPS |
|
|
Object Detection (SP)
|
100% |
6468
513.0 IPS |
|
|
Object Detection (HP)
|
100% |
11742
931.4 IPS |
|
|
Object Detection (Q)
|
93% |
10024
799.7 IPS |
|
|
Face Detection (SP)
|
100% |
18416
218.8 IPS |
|
|
Face Detection (HP)
|
100% |
34237
406.8 IPS |
|
|
Face Detection (Q)
|
100% |
27039
321.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28555
220.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
56250
433.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
52922
413.2 IPS |
|
|
Style Transfer (SP)
|
100% |
82003
105.4 IPS |
|
|
Style Transfer (HP)
|
100% |
190843
245.3 IPS |
|
|
Style Transfer (Q)
|
96% |
209710
270.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16107
594.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32689
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30541
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (HP)
|
99% |
5691
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5685
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
6284
108.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5525
95.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5544
95.8 IPS |
