| User | slava-zaxapov |
| Upload Date | October 07 2025 08:08 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850M D3HP |
| Motherboard | Gigabyte Technology Co., Ltd. B850M D3HP |
| 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% |
7127
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
12692
2.37 KIPS |
|
|
Image Classification (Q)
|
99% |
6332
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12861
208.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18295
296.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11676
189.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
89329
104.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
242620
283.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
77903
91.3 IPS |
|
|
Object Detection (SP)
|
100% |
8937
708.9 IPS |
|
|
Object Detection (HP)
|
100% |
16641
1.32 KIPS |
|
|
Object Detection (Q)
|
84% |
7819
630.6 IPS |
|
|
Face Detection (SP)
|
100% |
21734
258.3 IPS |
|
|
Face Detection (HP)
|
100% |
35814
425.6 IPS |
|
|
Face Detection (Q)
|
97% |
19252
229.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
41197
317.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
80005
616.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
33280
266.2 IPS |
|
|
Style Transfer (SP)
|
100% |
139391
179.2 IPS |
|
|
Style Transfer (HP)
|
100% |
342488
440.3 IPS |
|
|
Style Transfer (Q)
|
98% |
122895
158.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28337
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46167
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21039
779.0 IPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
3850
5.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1913
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4193
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4468
77.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1914
35.9 IPS |