User | Asphyxiant |
Upload Date | April 23 2025 07:46 AM |
Views | 5 |
AI Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Apple M3 Ultra |
System Information | |
---|---|
Operating System | macOS 15.4.1 (Build 24E263) |
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 | 3.81 GHz |
Cluster 1 | 20 Cores |
Cluster 2 | 8 Cores |
Memory Information | |
---|---|
Size | 96.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1687
313.7 IPS |
|
Image Classification (HP)
|
100% |
16184
3.01 KIPS |
|
Image Classification (Q)
|
97% |
17804
3.32 KIPS |
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
Image Segmentation (HP)
|
100% |
21912
355.2 IPS |
|
Image Segmentation (Q)
|
99% |
27188
440.7 IPS |
|
Pose Estimation (SP)
|
100% |
22023
25.7 IPS |
|
Pose Estimation (HP)
|
100% |
120988
141.2 IPS |
|
Pose Estimation (Q)
|
95% |
119271
139.8 IPS |
|
Object Detection (SP)
|
100% |
2129
168.9 IPS |
|
Object Detection (HP)
|
100% |
20276
1.61 KIPS |
|
Object Detection (Q)
|
91% |
18794
1.50 KIPS |
|
Face Detection (SP)
|
100% |
4524
53.8 IPS |
|
Face Detection (HP)
|
100% |
38584
458.5 IPS |
|
Face Detection (Q)
|
100% |
50801
603.6 IPS |
|
Depth Estimation (SP)
|
100% |
7838
60.4 IPS |
|
Depth Estimation (HP)
|
99% |
104652
806.3 IPS |
|
Depth Estimation (Q)
|
85% |
128768
1.01 KIPS |
|
Style Transfer (SP)
|
100% |
35086
45.1 IPS |
|
Style Transfer (HP)
|
100% |
218823
281.3 IPS |
|
Style Transfer (Q)
|
96% |
216599
279.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
6903
254.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
40633
1.50 KIPS |
|
Image Super-Resolution (Q)
|
99% |
51784
1.91 KIPS |
|
Text Classification (SP)
|
100% |
2731
3.65 KIPS |
|
Text Classification (HP)
|
100% |
5008
6.68 KIPS |
|
Text Classification (Q)
|
93% |
4995
6.70 KIPS |
|
Machine Translation (SP)
|
100% |
4809
82.8 IPS |
|
Machine Translation (HP)
|
100% |
4934
85.0 IPS |
|
Machine Translation (Q)
|
98% |
5519
95.4 IPS |