| Upload Date | November 28 2025 05:23 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS M |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS M |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4085
759.7 IPS |
|
|
Image Classification (HP)
|
100% |
3990
742.0 IPS |
|
|
Image Classification (Q)
|
99% |
3295
614.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6231
101.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5856
94.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5077
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
41219
48.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
26051
30.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
34032
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
4811
381.6 IPS |
|
|
Object Detection (HP)
|
100% |
4807
381.3 IPS |
|
|
Object Detection (Q)
|
83% |
3915
316.3 IPS |
|
|
Face Detection (SP)
|
100% |
9723
115.5 IPS |
|
|
Face Detection (HP)
|
100% |
9716
115.4 IPS |
|
|
Face Detection (Q)
|
97% |
7985
95.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22534
173.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18011
138.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16543
132.0 IPS |
|
|
Style Transfer (SP)
|
100% |
74144
95.3 IPS |
|
|
Style Transfer (HP)
|
100% |
51136
65.7 IPS |
|
|
Style Transfer (Q)
|
98% |
57964
74.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13052
482.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11334
418.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8415
311.6 IPS |
|
|
Text Classification (SP)
|
100% |
1768
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (Q)
|
97% |
995
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3260
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3281
56.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1296
24.3 IPS |