Mac15,12
Geekbench AI Score
3948
Single Precision Score
5634
Half Precision Score
4680
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | sabotage |
| Upload Date | August 27 2024 03:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
2243
417.1 IPS |
|
|
Image Classification (Q)
|
99% |
2223
414.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1503
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8557
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
17071
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14640
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1858
147.3 IPS |
|
|
Object Detection (HP)
|
97% |
2602
207.2 IPS |
|
|
Object Detection (Q)
|
94% |
1992
158.7 IPS |
|
|
Face Detection (SP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5071
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
3319
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6792
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9840
76.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
5099
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21567
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32228
41.4 IPS |
|
|
Style Transfer (Q)
|
100% |
32197
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4998
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6191
228.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4417
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
4752
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4726
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3141
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4561
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4556
78.7 IPS |
