Mac15,12
Geekbench AI Score
4138
Single Precision Score
7053
Half Precision Score
5712
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | August 15 2025 04:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1585
294.8 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.6 IPS |
|
|
Image Classification (Q)
|
96% |
2078
388.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3208
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8896
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17482
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15071
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
3184
253.5 IPS |
|
|
Object Detection (Q)
|
94% |
2326
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6757
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3967
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7100
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12563
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8944
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22356
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34189
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28355
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5202
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6150
227.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4467
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5319
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5287
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3282
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6662
115.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6660
115.1 IPS |
