| Upload Date | December 07 2025 03:47 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B550M DS3H |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4509
838.6 IPS |
|
|
Image Classification (HP)
|
100% |
4275
795.0 IPS |
|
|
Image Classification (Q)
|
99% |
3655
681.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7825
126.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6496
105.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6325
102.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
48853
57.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
29007
33.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
41322
48.4 IPS |
|
|
Object Detection (SP)
|
100% |
5604
444.5 IPS |
|
|
Object Detection (HP)
|
100% |
5376
426.5 IPS |
|
|
Object Detection (Q)
|
83% |
4492
362.9 IPS |
|
|
Face Detection (SP)
|
100% |
12370
147.0 IPS |
|
|
Face Detection (HP)
|
100% |
10816
128.5 IPS |
|
|
Face Detection (Q)
|
97% |
10078
120.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26046
200.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19728
152.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
18625
148.6 IPS |
|
|
Style Transfer (SP)
|
100% |
82206
105.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55368
71.2 IPS |
|
|
Style Transfer (Q)
|
98% |
67036
86.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15403
568.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12720
469.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9792
362.6 IPS |
|
|
Text Classification (SP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1460
1.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1049
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3471
60.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1390
26.1 IPS |