Mac17,2
Geekbench AI Score
5082
Single Precision Score
43481
Half Precision Score
61546
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 18 2025 04:00 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.59 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2157
401.1 IPS |
|
|
Image Classification (HP)
|
100% |
19560
3.64 KIPS |
|
|
Image Classification (Q)
|
97% |
27604
5.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24110
390.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33947
550.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10224
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
176595
206.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
332166
389.3 IPS |
|
|
Object Detection (SP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (HP)
|
100% |
20264
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
28071
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
4460
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
47339
562.5 IPS |
|
|
Face Detection (Q)
|
100% |
68626
815.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8980
69.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
114204
879.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
198400
1.55 KIPS |
|
|
Style Transfer (SP)
|
100% |
25679
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
273700
351.8 IPS |
|
|
Style Transfer (Q)
|
96% |
371970
480.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5684
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67601
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
109078
4.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
7730
10.3 KIPS |
|
|
Text Classification (Q)
|
93% |
8269
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4880
84.1 IPS |
|
|
Machine Translation (HP)
|
100% |
18512
318.9 IPS |
|
|
Machine Translation (Q)
|
98% |
19540
337.7 IPS |
