Mac15,12
Geekbench AI Score
4104
Single Precision Score
7035
Half Precision Score
5668
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 15 2025 12:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1568
291.7 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.6 IPS |
|
|
Image Classification (Q)
|
96% |
2079
388.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3243
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8967
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17499
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15083
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
3233
257.4 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3484
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6827
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3983
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7017
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12788
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9028
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22426
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34639
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28613
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6128
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4466
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5242
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5202
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6241
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5962
103.0 IPS |
