| User | gmn17 | 
| Upload Date | September 14 2025 04:04 AM | 
| Views | 4 | 
| 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% | 
7179
 1.34 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
9568
 1.78 KIPS  | 
|
| 
Image Classification (Q)
 | 
99% | 
5191
 968.1 IPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
10511
 170.4 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
13321
 215.9 IPS  | 
|
| 
Image Segmentation (Q)
 | 
98% | 
8327
 135.4 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
100803
 117.6 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
286801
 334.6 IPS  | 
|
| 
Pose Estimation (Q)
 | 
96% | 
82085
 96.2 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
8592
 681.5 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
11503
 912.4 IPS  | 
|
| 
Object Detection (Q)
 | 
85% | 
6389
 514.4 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
20724
 246.2 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
28699
 341.0 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
15598
 186.0 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
47431
 365.4 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
73679
 567.7 IPS  | 
|
| 
Depth Estimation (Q)
 | 
77% | 
30353
 243.2 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
194972
 250.6 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
398422
 512.2 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
144208
 186.0 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
28497
 1.05 KIPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
36220
 1.34 KIPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
15748
 583.1 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
1861
 2.48 KIPS  | 
|
| 
Text Classification (HP)
 | 
99% | 
2819
 3.76 KIPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
1150
 1.54 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
2998
 51.6 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
3052
 52.6 IPS  | 
|
| 
Machine Translation (Q)
 | 
70% | 
1339
 25.1 IPS  |