Mac15,12
Geekbench AI Score
4001
Single Precision Score
7081
Half Precision Score
5721
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 07 2025 11:37 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
1458
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
2971
552.4 IPS |
|
|
Image Classification (Q)
|
96% |
2049
382.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3190
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8424
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17518
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15103
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.5 IPS |
|
|
Object Detection (HP)
|
97% |
3222
256.5 IPS |
|
|
Object Detection (Q)
|
94% |
2345
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3514
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6775
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
4001
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7076
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12787
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9063
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21987
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33751
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28095
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6117
225.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4466
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5419
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5266
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3268
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6752
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6772
117.0 IPS |
