| Upload Date | February 10 2026 05:28 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450 GAMING PLUS MAX (MS-7B86) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.95 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4995
929.0 IPS |
|
|
Image Classification (HP)
|
100% |
8734
1.62 KIPS |
|
|
Image Classification (Q)
|
99% |
3949
736.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8525
138.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12603
204.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6883
111.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
48222
56.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
142396
166.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
41846
49.0 IPS |
|
|
Object Detection (SP)
|
100% |
5878
466.2 IPS |
|
|
Object Detection (HP)
|
100% |
10457
829.5 IPS |
|
|
Object Detection (Q)
|
84% |
4696
378.8 IPS |
|
|
Face Detection (SP)
|
100% |
14345
170.4 IPS |
|
|
Face Detection (HP)
|
100% |
23916
284.2 IPS |
|
|
Face Detection (Q)
|
97% |
11629
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27299
210.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55096
424.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19789
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
88695
114.0 IPS |
|
|
Style Transfer (HP)
|
100% |
217195
279.2 IPS |
|
|
Style Transfer (Q)
|
98% |
73181
94.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16061
593.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27951
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10216
378.3 IPS |
|
|
Text Classification (SP)
|
100% |
1711
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2525
3.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1012
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1363
25.6 IPS |