Mac15,12
Geekbench AI Score
4104
Single Precision Score
6875
Half Precision Score
5574
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 31 2024 06:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1569
291.8 IPS |
|
|
Image Classification (HP)
|
100% |
2875
534.6 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3294
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8836
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17179
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14865
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.8 IPS |
|
|
Object Detection (HP)
|
97% |
3213
255.8 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6608
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3957
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7054
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13419
103.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9281
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22035
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33537
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27912
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5177
191.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4370
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
2851
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4942
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4900
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5694
98.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5665
97.9 IPS |
