| User | Benjamin_Personal |
| Upload Date | April 15 2026 03:00 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82XX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7730U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
1754
326.2 IPS |
|
|
Image Classification (Q)
|
100% |
1119
208.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1180
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10334
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21945
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
10055
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (Q)
|
88% |
1281
102.7 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (Q)
|
97% |
2571
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7620
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11030
85.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5839
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20946
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34750
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16647
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4370
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6579
242.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3002
111.2 IPS |
|
|
Text Classification (SP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
637
852.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2048
35.3 IPS |
|
|
Machine Translation (Q)
|
70% |
783
14.7 IPS |