Mac15,12
Geekbench AI Score
4092
Single Precision Score
7018
Half Precision Score
5657
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | tc1109 |
| Upload Date | July 25 2025 02:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
2952
548.9 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2884
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3207
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8793
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17421
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15039
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1811
143.6 IPS |
|
|
Object Detection (HP)
|
97% |
3202
254.9 IPS |
|
|
Object Detection (Q)
|
94% |
2311
184.2 IPS |
|
|
Face Detection (SP)
|
100% |
3460
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6651
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3887
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7119
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12781
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8966
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22143
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33942
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28414
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5226
193.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6126
226.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4460
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
3066
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5363
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6273
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6256
108.1 IPS |
