| User | WB_Mochi0 |
| Upload Date | September 06 2025 04:27 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B650 Steel Legend WiFi |
| Motherboard | ASRock B650 Steel Legend WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9389
1.75 KIPS |
|
|
Image Classification (HP)
|
99% |
15149
2.83 KIPS |
|
|
Image Classification (Q)
|
99% |
8358
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15765
255.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21656
351.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14408
234.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
112667
131.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
365568
426.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
99343
116.4 IPS |
|
|
Object Detection (SP)
|
100% |
10945
868.2 IPS |
|
|
Object Detection (HP)
|
100% |
18972
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
9728
783.1 IPS |
|
|
Face Detection (SP)
|
100% |
27046
321.4 IPS |
|
|
Face Detection (HP)
|
100% |
44303
526.4 IPS |
|
|
Face Detection (Q)
|
97% |
23587
281.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53420
411.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99517
766.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
42909
343.6 IPS |
|
|
Style Transfer (SP)
|
100% |
197667
254.1 IPS |
|
|
Style Transfer (HP)
|
100% |
484896
623.3 IPS |
|
|
Style Transfer (Q)
|
98% |
177405
228.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34782
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56251
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26361
976.1 IPS |
|
|
Text Classification (SP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4351
5.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2033
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4423
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4788
82.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2059
38.6 IPS |