| User | opensourceeverywhere |
| Upload Date | January 03 2026 07:52 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 740M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 12RQ003PGE |
| Motherboard | LENOVO 334A |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 PRO 8300G w/ Radeon 740M Graphics |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 25 Model 120 Stepping 0 |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1779
330.8 IPS |
|
|
Image Classification (HP)
|
100% |
2094
389.4 IPS |
|
|
Image Classification (Q)
|
100% |
1564
290.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2074
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19342
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33039
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
15921
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
1578
125.1 IPS |
|
|
Object Detection (Q)
|
87% |
1402
112.6 IPS |
|
|
Face Detection (SP)
|
100% |
4444
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
6651
79.0 IPS |
|
|
Face Detection (Q)
|
97% |
3874
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9532
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12280
94.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
7759
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29836
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46623
59.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24297
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6134
226.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10762
397.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4384
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1058
19.8 IPS |