Mac15,12
Geekbench AI Score
4138
Single Precision Score
7017
Half Precision Score
5677
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Selder |
| Upload Date | December 28 2024 08:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.02 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (Q)
|
96% |
2094
391.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3043
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3381
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8649
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17308
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15025
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
97% |
3282
261.2 IPS |
|
|
Object Detection (Q)
|
94% |
2372
189.0 IPS |
|
|
Face Detection (SP)
|
100% |
3527
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
6646
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3941
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7203
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13618
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9361
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22377
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33892
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28411
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5236
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6178
228.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4447
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5206
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5076
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5737
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5829
100.7 IPS |
