| User | 3sv |
| Upload Date | March 04 2026 08:12 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8013
1.49 KIPS |
|
|
Image Classification (HP)
|
99% |
12721
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
5691
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14512
235.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22032
357.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11296
183.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
118780
138.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
319944
373.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
94561
110.8 IPS |
|
|
Object Detection (SP)
|
100% |
10630
843.2 IPS |
|
|
Object Detection (HP)
|
100% |
16975
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
7670
617.4 IPS |
|
|
Face Detection (SP)
|
100% |
25278
300.4 IPS |
|
|
Face Detection (HP)
|
100% |
39779
472.7 IPS |
|
|
Face Detection (Q)
|
97% |
18982
226.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
52209
402.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95670
737.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
33307
266.8 IPS |
|
|
Style Transfer (SP)
|
100% |
188983
242.9 IPS |
|
|
Style Transfer (HP)
|
100% |
478910
615.6 IPS |
|
|
Style Transfer (Q)
|
98% |
145463
187.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34370
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46251
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19406
718.6 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1389
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4306
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4365
75.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1561
29.3 IPS |