| User | ghazinakhli |
| Upload Date | February 12 2026 01:38 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MDS42G03 |
| Motherboard | LENOVO 21MDS42G03 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8840U w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
3521
654.9 IPS |
|
|
Image Classification (Q)
|
100% |
1786
332.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3230
52.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1604
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23621
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
51873
60.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
15713
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.4 IPS |
|
|
Object Detection (HP)
|
100% |
2940
233.2 IPS |
|
|
Object Detection (Q)
|
87% |
1597
128.3 IPS |
|
|
Face Detection (SP)
|
100% |
3092
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6071
72.1 IPS |
|
|
Face Detection (Q)
|
97% |
2540
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10155
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18654
143.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
7588
60.9 IPS |
|
|
Style Transfer (SP)
|
100% |
40819
52.5 IPS |
|
|
Style Transfer (HP)
|
100% |
84641
108.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25454
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8515
314.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16898
623.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5041
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
2040
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2797
3.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1520
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2600
44.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1157
21.7 IPS |