| User | gmn17 | 
| Upload Date | June 30 2025 11:22 PM | 
| Views | 11 | 
| 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 | AMD Ryzen 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% | 
7253
 1.35 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
9740
 1.81 KIPS  | 
|
| 
Image Classification (Q)
 | 
99% | 
5244
 978.2 IPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
10557
 171.1 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
13275
 215.2 IPS  | 
|
| 
Image Segmentation (Q)
 | 
98% | 
8355
 135.9 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
102015
 119.0 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
290880
 339.4 IPS  | 
|
| 
Pose Estimation (Q)
 | 
96% | 
82999
 97.2 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
8630
 684.5 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
11745
 931.6 IPS  | 
|
| 
Object Detection (Q)
 | 
85% | 
6411
 516.1 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
20932
 248.7 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
28627
 340.2 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
15962
 190.3 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
48238
 371.6 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
74768
 576.0 IPS  | 
|
| 
Depth Estimation (Q)
 | 
77% | 
30484
 244.2 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
194688
 250.3 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
403305
 518.5 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
147916
 190.7 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
28943
 1.07 KIPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
38248
 1.41 KIPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
16716
 619.0 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
2018
 2.69 KIPS  | 
|
| 
Text Classification (HP)
 | 
99% | 
3088
 4.12 KIPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
1187
 1.59 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
3109
 53.5 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
3057
 52.7 IPS  | 
|
| 
Machine Translation (Q)
 | 
70% | 
1353
 25.4 IPS  |