Mac15,12
Geekbench AI Score
4147
Single Precision Score
6993
Half Precision Score
5661
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | TheMatrix2025 |
| Upload Date | December 10 2024 12:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C100) |
| 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% |
1577
293.3 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (Q)
|
96% |
2082
388.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2970
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3320
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8865
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17337
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15025
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.0 IPS |
|
|
Object Detection (HP)
|
97% |
3272
260.5 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6589
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3931
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7161
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13543
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9371
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22428
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34015
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28387
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5246
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4430
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5230
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5193
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5794
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5791
100.1 IPS |
