| User | sftw |
| Upload Date | July 09 2025 06:17 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | CyberPowerPC GamingPC |
| Motherboard | Gigabyte Technology Co., Ltd. B850 GAMING WIFI6 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10241
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
19626
3.65 KIPS |
|
|
Image Classification (Q)
|
100% |
9380
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18387
298.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28562
463.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16616
270.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
124329
145.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
407387
475.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
116049
135.9 IPS |
|
|
Object Detection (SP)
|
100% |
12843
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
24277
1.93 KIPS |
|
|
Object Detection (Q)
|
83% |
10815
873.8 IPS |
|
|
Face Detection (SP)
|
100% |
33217
394.7 IPS |
|
|
Face Detection (HP)
|
100% |
58734
697.9 IPS |
|
|
Face Detection (Q)
|
97% |
28395
338.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
55782
429.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
118262
911.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
44468
354.9 IPS |
|
|
Style Transfer (SP)
|
100% |
175767
226.0 IPS |
|
|
Style Transfer (HP)
|
100% |
627545
806.7 IPS |
|
|
Style Transfer (Q)
|
98% |
152757
197.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35677
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71603
2.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26605
985.2 IPS |
|
|
Text Classification (SP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5029
6.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2418
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5678
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6485
111.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2074
38.9 IPS |