| Upload Date | December 09 2025 11:29 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83M0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 260 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6735
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
11301
2.10 KIPS |
|
|
Image Classification (Q)
|
100% |
6197
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10537
170.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14376
233.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9883
160.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
85644
99.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
274704
320.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
77692
91.1 IPS |
|
|
Object Detection (SP)
|
100% |
8922
707.7 IPS |
|
|
Object Detection (HP)
|
100% |
14669
1.16 KIPS |
|
|
Object Detection (Q)
|
89% |
7228
579.0 IPS |
|
|
Face Detection (SP)
|
100% |
19844
235.8 IPS |
|
|
Face Detection (HP)
|
100% |
29844
354.6 IPS |
|
|
Face Detection (Q)
|
97% |
16906
201.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44143
340.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88320
680.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
35639
286.5 IPS |
|
|
Style Transfer (SP)
|
100% |
135583
174.3 IPS |
|
|
Style Transfer (HP)
|
100% |
452072
581.1 IPS |
|
|
Style Transfer (Q)
|
98% |
116432
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24803
915.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46990
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19790
732.8 IPS |
|
|
Text Classification (SP)
|
100% |
2868
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1975
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3684
63.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1449
32.3 IPS |