| User | TotallyHarmless |
| Upload Date | November 07 2025 09:35 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9809
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
14388
2.68 KIPS |
|
|
Image Classification (Q)
|
100% |
6635
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18875
306.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27502
445.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12977
211.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
175821
205.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
364832
425.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
129870
152.2 IPS |
|
|
Object Detection (SP)
|
100% |
12984
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
19006
1.51 KIPS |
|
|
Object Detection (Q)
|
85% |
8629
694.1 IPS |
|
|
Face Detection (SP)
|
100% |
35794
425.3 IPS |
|
|
Face Detection (HP)
|
100% |
52316
621.6 IPS |
|
|
Face Detection (Q)
|
97% |
22749
271.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
64859
499.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111551
859.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
38103
305.1 IPS |
|
|
Style Transfer (SP)
|
100% |
270965
348.3 IPS |
|
|
Style Transfer (HP)
|
100% |
652616
838.9 IPS |
|
|
Style Transfer (Q)
|
98% |
193735
249.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38740
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55832
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21963
813.3 IPS |
|
|
Text Classification (SP)
|
100% |
2873
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
3593
4.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1446
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4950
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4946
85.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1565
29.3 IPS |