Mac17,2
Geekbench AI Score
5322
Single Precision Score
8673
Half Precision Score
6928
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 12:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2298
427.3 IPS |
|
|
Image Classification (HP)
|
100% |
3742
695.9 IPS |
|
|
Image Classification (Q)
|
96% |
2534
473.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3555
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3909
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11287
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20600
24.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17559
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.4 IPS |
|
|
Object Detection (HP)
|
97% |
4245
337.9 IPS |
|
|
Object Detection (Q)
|
94% |
2993
238.6 IPS |
|
|
Face Detection (SP)
|
100% |
4824
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8630
102.5 IPS |
|
|
Face Detection (Q)
|
100% |
4846
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9153
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15303
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10642
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27096
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41467
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33933
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5992
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7181
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5198
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5518
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5030
86.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9549
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9705
167.7 IPS |
