Mac17,2
Geekbench AI Score
5295
Single Precision Score
43125
Half Precision Score
60663
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 25 2025 03:59 PM |
| Views | 2 |
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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2251
418.6 IPS |
|
|
Image Classification (HP)
|
100% |
19203
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
26148
4.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24342
394.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
34177
554.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10921
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
179067
208.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
337330
395.4 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
19086
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
28081
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
4728
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
47923
569.4 IPS |
|
|
Face Detection (Q)
|
100% |
68988
819.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9112
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
114633
883.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
197119
1.54 KIPS |
|
|
Style Transfer (SP)
|
100% |
27496
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
275823
354.6 IPS |
|
|
Style Transfer (Q)
|
96% |
380106
490.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6063
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67844
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
105032
3.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
7391
9.86 KIPS |
|
|
Text Classification (Q)
|
93% |
7604
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4940
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
18330
315.7 IPS |
|
|
Machine Translation (Q)
|
98% |
19315
333.8 IPS |
