| User | yrfriendjkap |
| Upload Date | November 08 2025 02:24 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13467
2.50 KIPS |
|
|
Image Classification (HP)
|
99% |
18977
3.54 KIPS |
|
|
Image Classification (Q)
|
100% |
11372
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21006
340.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26627
431.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19551
317.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
261510
305.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
507062
591.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
230375
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
16294
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
22971
1.82 KIPS |
|
|
Object Detection (Q)
|
85% |
14204
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
46628
554.0 IPS |
|
|
Face Detection (HP)
|
100% |
60675
720.9 IPS |
|
|
Face Detection (Q)
|
97% |
39816
474.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
83200
641.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
150729
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63761
509.2 IPS |
|
|
Style Transfer (SP)
|
100% |
385430
495.5 IPS |
|
|
Style Transfer (HP)
|
100% |
850228
1.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
337974
435.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55087
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74468
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42156
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
4679
6.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2267
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5454
94.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5435
93.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2671
50.1 IPS |