| User | gmn17 |
| Upload Date | November 27 2024 12:05 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3960X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6725
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
8817
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
4639
862.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8886
144.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10550
171.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7297
118.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
102322
119.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
278794
325.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
81742
95.7 IPS |
|
|
Object Detection (SP)
|
100% |
8050
638.6 IPS |
|
|
Object Detection (HP)
|
100% |
10716
850.0 IPS |
|
|
Object Detection (Q)
|
89% |
5685
455.2 IPS |
|
|
Face Detection (SP)
|
100% |
17926
213.0 IPS |
|
|
Face Detection (HP)
|
100% |
23585
280.2 IPS |
|
|
Face Detection (Q)
|
97% |
13338
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
45783
352.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
70082
539.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
29174
235.0 IPS |
|
|
Style Transfer (SP)
|
100% |
190164
244.5 IPS |
|
|
Style Transfer (HP)
|
100% |
392769
504.9 IPS |
|
|
Style Transfer (Q)
|
98% |
144725
186.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28532
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36133
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16408
607.6 IPS |
|
|
Text Classification (SP)
|
100% |
1917
2.56 KIPS |
|
|
Text Classification (HP)
|
99% |
2897
3.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1156
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2613
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2605
44.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1065
23.8 IPS |