| Upload Date | December 07 2025 04:43 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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% |
6431
1.20 KIPS |
|
|
Image Classification (HP)
|
99% |
10883
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
4807
896.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10734
174.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17641
286.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8304
135.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
72010
84.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
202503
236.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
59731
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
7808
619.4 IPS |
|
|
Object Detection (HP)
|
100% |
14617
1.16 KIPS |
|
|
Object Detection (Q)
|
84% |
6039
487.1 IPS |
|
|
Face Detection (SP)
|
100% |
18291
217.3 IPS |
|
|
Face Detection (HP)
|
100% |
30704
364.8 IPS |
|
|
Face Detection (Q)
|
97% |
14291
170.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
36446
280.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
70795
547.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
24712
197.8 IPS |
|
|
Style Transfer (SP)
|
100% |
120540
155.0 IPS |
|
|
Style Transfer (HP)
|
100% |
308572
396.7 IPS |
|
|
Style Transfer (Q)
|
98% |
96495
124.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21920
809.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36718
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13736
508.6 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1260
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4122
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4293
73.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1511
28.3 IPS |