Mac15,12
Geekbench AI Score
3967
Single Precision Score
5697
Half Precision Score
4696
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tangreg99 |
| Upload Date | August 30 2024 04:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1676
311.6 IPS |
|
|
Image Classification (HP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (Q)
|
99% |
2266
422.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1569
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8539
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
17074
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14672
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1879
149.0 IPS |
|
|
Object Detection (HP)
|
97% |
2665
212.2 IPS |
|
|
Object Detection (Q)
|
94% |
2039
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5166
61.4 IPS |
|
|
Face Detection (Q)
|
100% |
3332
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6863
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10121
78.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4865
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21562
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32435
41.7 IPS |
|
|
Style Transfer (Q)
|
100% |
32456
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4936
182.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6072
224.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4376
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4736
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4716
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4524
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4519
78.1 IPS |
