Mac17,2
Geekbench AI Score
5326
Single Precision Score
8688
Half Precision Score
6905
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 04:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2280
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
3663
681.1 IPS |
|
|
Image Classification (Q)
|
96% |
2479
463.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3665
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3905
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10897
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20727
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17833
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
97% |
4234
337.1 IPS |
|
|
Object Detection (Q)
|
94% |
2970
236.7 IPS |
|
|
Face Detection (SP)
|
100% |
4873
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8616
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
4878
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9155
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15230
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10656
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27390
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41501
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34014
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5916
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7169
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5178
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3053
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5637
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5051
87.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9588
165.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9323
161.1 IPS |
