Mac15,12
Geekbench AI Score
4005
Single Precision Score
6851
Half Precision Score
5505
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | davidofun |
| Upload Date | September 01 2025 11:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1526
283.7 IPS |
|
|
Image Classification (HP)
|
100% |
2894
538.2 IPS |
|
|
Image Classification (Q)
|
96% |
2063
385.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3129
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8452
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
16074
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14202
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
97% |
3174
252.7 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
6656
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3821
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6984
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12567
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8907
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21786
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33696
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27712
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5065
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5762
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4295
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
3118
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5166
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5143
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3058
52.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6306
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5734
99.1 IPS |
