| User | spinJet |
| Upload Date | February 14 2025 11:34 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro RTX 4000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | LENOVO 30E1S38J00 |
| Motherboard | LENOVO 1046 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 3975WX |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5248
975.9 IPS |
|
|
Image Classification (HP)
|
100% |
8704
1.62 KIPS |
|
|
Image Classification (Q)
|
99% |
4125
769.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8359
135.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11292
183.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7006
113.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
63180
73.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
188862
220.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
53851
63.1 IPS |
|
|
Object Detection (SP)
|
100% |
6385
506.4 IPS |
|
|
Object Detection (HP)
|
100% |
10511
833.8 IPS |
|
|
Object Detection (Q)
|
84% |
5023
405.1 IPS |
|
|
Face Detection (SP)
|
100% |
15843
188.2 IPS |
|
|
Face Detection (HP)
|
100% |
24344
289.3 IPS |
|
|
Face Detection (Q)
|
97% |
12942
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
30444
234.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
57662
444.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
22351
178.7 IPS |
|
|
Style Transfer (SP)
|
100% |
100898
129.7 IPS |
|
|
Style Transfer (HP)
|
100% |
242477
311.7 IPS |
|
|
Style Transfer (Q)
|
98% |
85869
110.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21091
778.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30472
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13180
488.0 IPS |
|
|
Text Classification (SP)
|
100% |
1726
2.30 KIPS |
|
|
Text Classification (HP)
|
99% |
2384
3.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1066
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2803
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3034
52.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1257
23.6 IPS |