| User | ashtonraethel |
| Upload Date | February 08 2026 10:31 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X870-P WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6717
1.25 KIPS |
|
|
Image Classification (HP)
|
99% |
12650
2.36 KIPS |
|
|
Image Classification (Q)
|
99% |
6034
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11666
189.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17003
275.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10617
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
66368
77.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
215594
251.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59043
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
8421
668.0 IPS |
|
|
Object Detection (HP)
|
100% |
14825
1.18 KIPS |
|
|
Object Detection (Q)
|
84% |
7450
600.9 IPS |
|
|
Face Detection (SP)
|
100% |
19317
229.5 IPS |
|
|
Face Detection (HP)
|
100% |
32857
390.4 IPS |
|
|
Face Detection (Q)
|
97% |
17252
205.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
36922
284.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
73492
566.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
31013
248.1 IPS |
|
|
Style Transfer (SP)
|
100% |
123421
158.7 IPS |
|
|
Style Transfer (HP)
|
100% |
302730
389.2 IPS |
|
|
Style Transfer (Q)
|
98% |
108435
139.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25323
935.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43596
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18559
687.2 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1920
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4017
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1860
34.9 IPS |