Mac15,12
Geekbench AI Score
4119
Single Precision Score
6957
Half Precision Score
5617
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 06:57 PM |
| Views | 3 |
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% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (Q)
|
96% |
2056
383.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2979
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8554
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
17235
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14953
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.3 IPS |
|
|
Object Detection (HP)
|
97% |
3245
258.3 IPS |
|
|
Object Detection (Q)
|
94% |
2323
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
3463
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6474
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
3836
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7125
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13501
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9286
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22341
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33886
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28096
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5229
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5985
221.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4345
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5176
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5199
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5879
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5904
102.0 IPS |
