| User | manual123 |
| Upload Date | November 02 2025 01:16 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 EAGLE WIFI6 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 EAGLE WIFI6 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6430
1.20 KIPS |
|
|
Image Classification (HP)
|
99% |
9107
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
4851
902.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8156
132.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10723
173.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7099
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
99896
116.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
261028
304.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
81062
95.0 IPS |
|
|
Object Detection (SP)
|
100% |
7977
632.7 IPS |
|
|
Object Detection (HP)
|
100% |
11210
889.2 IPS |
|
|
Object Detection (Q)
|
85% |
6081
489.5 IPS |
|
|
Face Detection (SP)
|
100% |
15452
183.6 IPS |
|
|
Face Detection (HP)
|
100% |
20894
248.3 IPS |
|
|
Face Detection (Q)
|
97% |
12792
152.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
44277
341.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
79847
615.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
29795
238.7 IPS |
|
|
Style Transfer (SP)
|
100% |
164815
211.9 IPS |
|
|
Style Transfer (HP)
|
100% |
382632
491.9 IPS |
|
|
Style Transfer (Q)
|
98% |
128754
166.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26813
990.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35840
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16092
595.9 IPS |
|
|
Text Classification (SP)
|
100% |
1967
2.62 KIPS |
|
|
Text Classification (HP)
|
99% |
2372
3.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1159
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2165
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1992
34.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1073
20.1 IPS |