| User | mrfearless47 |
| Upload Date | March 17 2025 05:53 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac15,14 |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 3.95 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1724
320.6 IPS |
|
|
Image Classification (HP)
|
100% |
15607
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
16964
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22455
364.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27809
450.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21952
25.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123073
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
121406
142.3 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
19952
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
19617
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
38717
460.0 IPS |
|
|
Face Detection (Q)
|
100% |
50962
605.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7860
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108767
838.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
125128
978.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33440
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
222015
285.4 IPS |
|
|
Style Transfer (Q)
|
96% |
217212
280.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6835
252.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42881
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50924
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2710
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4887
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4844
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5730
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5155
88.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5446
94.1 IPS |