Mac15,12
Geekbench AI Score
4189
Single Precision Score
7053
Half Precision Score
5740
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | December 01 2024 10:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1597
297.0 IPS |
|
|
Image Classification (HP)
|
100% |
2977
553.7 IPS |
|
|
Image Classification (Q)
|
96% |
2105
393.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3056
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3408
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8912
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17325
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15043
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1865
148.0 IPS |
|
|
Object Detection (HP)
|
97% |
3308
263.3 IPS |
|
|
Object Detection (Q)
|
94% |
2392
190.7 IPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6812
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
4015
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7298
56.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13704
105.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9519
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22613
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34217
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28647
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5293
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5917
218.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4348
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5286
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5377
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3544
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5850
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5879
101.6 IPS |
