| User | ghazinakhli |
| Upload Date | February 12 2026 04:23 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8840U w/ 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% |
2227
414.2 IPS |
|
|
Image Classification (HP)
|
100% |
559
103.9 IPS |
|
|
Image Classification (Q)
|
99% |
6175
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8291
134.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5614
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4252
4.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
19241
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (HP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (Q)
|
86% |
6238
501.3 IPS |
|
|
Face Detection (SP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
1442
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
8410
100.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7587
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2267
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8423
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12380
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9852
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16310
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2248
83.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6242
231.1 IPS |
|
|
Text Classification (SP)
|
100% |
2155
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
895
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1703
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2579
51.8 IPS |