| Upload Date | September 02 2025 10:12 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A6000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30E00097US |
| Motherboard | LENOVO 1046 |
| Power Plan | Lenovo Default |
| 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 | 3.50 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9304
1.73 KIPS |
|
|
Image Classification (HP)
|
99% |
12623
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
6324
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15094
244.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20818
337.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10876
176.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
173438
202.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
344775
402.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
127217
149.1 IPS |
|
|
Object Detection (SP)
|
100% |
11825
938.0 IPS |
|
|
Object Detection (HP)
|
100% |
16015
1.27 KIPS |
|
|
Object Detection (Q)
|
85% |
8018
645.0 IPS |
|
|
Face Detection (SP)
|
100% |
31333
372.3 IPS |
|
|
Face Detection (HP)
|
100% |
45116
536.1 IPS |
|
|
Face Detection (Q)
|
97% |
20848
248.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
62246
479.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101523
782.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
37018
296.5 IPS |
|
|
Style Transfer (SP)
|
100% |
261133
335.7 IPS |
|
|
Style Transfer (HP)
|
100% |
583868
750.6 IPS |
|
|
Style Transfer (Q)
|
98% |
184699
238.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36244
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48162
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20774
769.2 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
3213
4.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1368
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1440
27.0 IPS |