Mac17,2
Geekbench AI Score
5287
Single Precision Score
41810
Half Precision Score
58115
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 07:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2273
422.7 IPS |
|
|
Image Classification (HP)
|
100% |
18594
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
24953
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24321
394.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33241
538.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10735
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
178418
208.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
330328
387.2 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
18971
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26496
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4762
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
47145
560.2 IPS |
|
|
Face Detection (Q)
|
100% |
66613
791.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9074
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111422
858.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
182892
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
27470
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
270713
348.0 IPS |
|
|
Style Transfer (Q)
|
96% |
372579
480.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5975
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63724
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102456
3.78 KIPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6632
8.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6963
9.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4995
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17747
305.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18694
323.1 IPS |
