| User | crypt3r |
| Upload Date | September 22 2025 01:56 PM |
| Views | 21 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | LENOVO 82K8 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4560
848.1 IPS |
|
|
Image Classification (HP)
|
99% |
7469
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
3634
677.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6649
107.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9870
160.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5288
86.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
46145
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
143137
167.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
37318
43.7 IPS |
|
|
Object Detection (SP)
|
100% |
5609
444.9 IPS |
|
|
Object Detection (HP)
|
100% |
9914
786.3 IPS |
|
|
Object Detection (Q)
|
85% |
4327
348.3 IPS |
|
|
Face Detection (SP)
|
100% |
11607
137.9 IPS |
|
|
Face Detection (HP)
|
100% |
19945
237.0 IPS |
|
|
Face Detection (Q)
|
97% |
9705
115.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27103
208.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55174
426.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
19071
152.7 IPS |
|
|
Style Transfer (SP)
|
100% |
85471
109.9 IPS |
|
|
Style Transfer (HP)
|
100% |
248665
319.7 IPS |
|
|
Style Transfer (Q)
|
98% |
68824
88.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16839
621.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28834
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10436
386.4 IPS |
|
|
Text Classification (SP)
|
100% |
1921
2.56 KIPS |
|
|
Text Classification (HP)
|
99% |
2276
3.04 KIPS |
|
|
Text Classification (Q)
|
97% |
992
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1059
19.9 IPS |