| Upload Date | December 12 2025 02:28 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5018
933.2 IPS |
|
|
Image Classification (HP)
|
100% |
8415
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
3960
738.6 IPS |
|
|
Image Segmentation (SP)
|
98% |
8808
143.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11951
193.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7113
115.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
57071
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
194007
226.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
48463
56.8 IPS |
|
|
Object Detection (SP)
|
100% |
6107
484.4 IPS |
|
|
Object Detection (HP)
|
100% |
10071
798.8 IPS |
|
|
Object Detection (Q)
|
84% |
4773
385.0 IPS |
|
|
Face Detection (SP)
|
97% |
15015
179.0 IPS |
|
|
Face Detection (HP)
|
100% |
23584
280.2 IPS |
|
|
Face Detection (Q)
|
100% |
12382
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
31676
244.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
59262
456.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
21535
172.3 IPS |
|
|
Style Transfer (SP)
|
100% |
103909
133.6 IPS |
|
|
Style Transfer (HP)
|
100% |
242047
311.2 IPS |
|
|
Style Transfer (Q)
|
98% |
86509
111.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18218
672.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29341
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11122
411.8 IPS |
|
|
Text Classification (SP)
|
100% |
1699
2.27 KIPS |
|
|
Text Classification (HP)
|
99% |
2356
3.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1030
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2994
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1273
23.9 IPS |