Mac17,2
Geekbench AI Score
5347
Single Precision Score
8680
Half Precision Score
6916
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 12:16 PM |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (HP)
|
100% |
3697
687.5 IPS |
|
|
Image Classification (Q)
|
96% |
2516
469.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3583
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3895
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11261
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20758
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17830
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (HP)
|
97% |
4240
337.6 IPS |
|
|
Object Detection (Q)
|
94% |
2995
238.7 IPS |
|
|
Face Detection (SP)
|
100% |
4831
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8539
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4825
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9153
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15147
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10602
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27246
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41343
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33927
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7145
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5181
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5676
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5574
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5074
87.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9612
166.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9558
165.2 IPS |
