Mac15,12
Geekbench AI Score
4007
Single Precision Score
6900
Half Precision Score
5610
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 24 2025 02:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1569
291.8 IPS |
|
|
Image Classification (HP)
|
100% |
2946
547.8 IPS |
|
|
Image Classification (Q)
|
96% |
1986
370.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3190
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8504
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
17337
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14945
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1770
140.4 IPS |
|
|
Object Detection (HP)
|
97% |
3173
252.6 IPS |
|
|
Object Detection (Q)
|
94% |
2307
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
6257
74.3 IPS |
|
|
Face Detection (Q)
|
100% |
3839
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7115
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12762
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8993
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21794
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33433
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28341
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5146
190.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6153
227.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4450
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
3053
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5470
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5537
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5874
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5865
101.4 IPS |
