| User | hrichl |
| Upload Date | June 04 2025 02:50 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A6000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7865 Tower |
| Motherboard | Dell Inc. 0DMYN9 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 5955WX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 8 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8779
1.63 KIPS |
|
|
Image Classification (HP)
|
99% |
11733
2.19 KIPS |
|
|
Image Classification (Q)
|
100% |
6084
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10765
174.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13439
217.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8703
141.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
164073
191.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
325826
380.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
121384
142.2 IPS |
|
|
Object Detection (SP)
|
100% |
10677
846.9 IPS |
|
|
Object Detection (HP)
|
100% |
14039
1.11 KIPS |
|
|
Object Detection (Q)
|
85% |
7440
598.5 IPS |
|
|
Face Detection (SP)
|
100% |
27846
330.9 IPS |
|
|
Face Detection (HP)
|
100% |
37459
445.1 IPS |
|
|
Face Detection (Q)
|
97% |
19093
227.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
59798
460.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95222
733.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
35337
283.0 IPS |
|
|
Style Transfer (SP)
|
100% |
244886
314.8 IPS |
|
|
Style Transfer (HP)
|
100% |
539975
694.1 IPS |
|
|
Style Transfer (Q)
|
98% |
175890
226.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34205
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45087
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19708
729.8 IPS |
|
|
Text Classification (SP)
|
100% |
2554
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
3165
4.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1339
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2762
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2597
44.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1211
22.7 IPS |