| User | masterclimby |
| Upload Date | September 15 2025 11:41 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7965
1.48 KIPS |
|
|
Image Classification (HP)
|
99% |
12579
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
5705
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13144
213.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20144
326.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10224
166.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
104249
121.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
306188
357.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
85409
100.1 IPS |
|
|
Object Detection (SP)
|
100% |
10333
819.6 IPS |
|
|
Object Detection (HP)
|
100% |
16312
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
7506
604.2 IPS |
|
|
Face Detection (SP)
|
100% |
23004
273.3 IPS |
|
|
Face Detection (HP)
|
100% |
36649
435.5 IPS |
|
|
Face Detection (Q)
|
97% |
17478
208.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
49191
379.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
92039
709.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
31898
255.5 IPS |
|
|
Style Transfer (SP)
|
100% |
179985
231.4 IPS |
|
|
Style Transfer (HP)
|
100% |
453866
583.5 IPS |
|
|
Style Transfer (Q)
|
98% |
136592
176.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31794
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44865
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18217
674.5 IPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3488
4.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1405
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4122
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4213
72.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1515
28.4 IPS |