| User | mohnishi |
| Upload Date | September 17 2025 05:02 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac15,14 |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 28 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1710
318.0 IPS |
|
|
Image Classification (HP)
|
100% |
15869
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
17386
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22032
357.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26527
430.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21658
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122239
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
118359
138.7 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
19315
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
18016
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
4620
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
38393
456.2 IPS |
|
|
Face Detection (Q)
|
100% |
49390
586.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7910
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104219
802.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
119674
935.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35101
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
218886
281.4 IPS |
|
|
Style Transfer (Q)
|
96% |
212925
274.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6938
256.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40228
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50280
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5090
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5074
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4930
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5085
87.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5483
94.8 IPS |