Mac15,12
Geekbench AI Score
4158
Single Precision Score
7026
Half Precision Score
5694
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | December 17 2024 02:07 PM |
| Views | 2 |
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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
2977
553.6 IPS |
|
|
Image Classification (Q)
|
96% |
2102
392.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3036
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8604
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17392
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15063
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.7 IPS |
|
|
Object Detection (HP)
|
97% |
3283
261.3 IPS |
|
|
Object Detection (Q)
|
94% |
2375
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6731
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3973
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7211
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13629
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9419
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22453
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33979
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28362
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5310
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6104
225.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4433
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5113
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5151
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5845
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5871
101.5 IPS |
