| User | gnieboer |
| Upload Date | August 15 2025 01:08 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9886
1.84 KIPS |
|
|
Image Classification (HP)
|
99% |
14500
2.70 KIPS |
|
|
Image Classification (Q)
|
100% |
6672
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15612
253.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22210
360.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11541
187.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
135085
157.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
389346
454.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
106043
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
12166
965.0 IPS |
|
|
Object Detection (HP)
|
100% |
18236
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
8312
668.6 IPS |
|
|
Face Detection (SP)
|
100% |
31667
376.3 IPS |
|
|
Face Detection (HP)
|
100% |
45317
538.5 IPS |
|
|
Face Detection (Q)
|
97% |
21652
258.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
62894
484.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
109214
841.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
36982
296.3 IPS |
|
|
Style Transfer (SP)
|
100% |
250856
322.5 IPS |
|
|
Style Transfer (HP)
|
100% |
592549
761.7 IPS |
|
|
Style Transfer (Q)
|
98% |
178966
230.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37368
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48733
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20316
752.3 IPS |
|
|
Text Classification (SP)
|
100% |
3147
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1491
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4341
74.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1558
29.2 IPS |