User | ArpanRay |
Upload Date | May 20 2025 07:05 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce GTX 1650 Ti |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
Model | HP HP Pavilion Gaming Laptop 15-ec1xxx |
Motherboard | HP 87B2 |
Power Plan | HP Recommended |
CPU Information | |
---|---|
Name | AMD Ryzen 5 4600H |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
Base Frequency | 3.00 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2763
513.8 IPS |
|
Image Classification (HP)
|
100% |
2656
493.8 IPS |
|
Image Classification (Q)
|
99% |
2416
450.5 IPS |
|
Image Segmentation (SP)
|
100% |
4694
76.1 IPS |
|
Image Segmentation (HP)
|
100% |
3853
62.5 IPS |
|
Image Segmentation (Q)
|
98% |
3929
63.9 IPS |
|
Pose Estimation (SP)
|
100% |
26575
31.0 IPS |
|
Pose Estimation (HP)
|
100% |
16855
19.7 IPS |
|
Pose Estimation (Q)
|
96% |
23647
27.7 IPS |
|
Object Detection (SP)
|
100% |
3477
275.8 IPS |
|
Object Detection (HP)
|
100% |
3269
259.3 IPS |
|
Object Detection (Q)
|
83% |
2957
238.9 IPS |
|
Face Detection (SP)
|
100% |
7658
91.0 IPS |
|
Face Detection (HP)
|
100% |
6472
76.9 IPS |
|
Face Detection (Q)
|
97% |
6498
77.5 IPS |
|
Depth Estimation (SP)
|
100% |
17013
131.1 IPS |
|
Depth Estimation (HP)
|
99% |
12358
95.2 IPS |
|
Depth Estimation (Q)
|
78% |
13187
105.3 IPS |
|
Style Transfer (SP)
|
100% |
48836
62.8 IPS |
|
Style Transfer (HP)
|
100% |
33071
42.5 IPS |
|
Style Transfer (Q)
|
98% |
41516
53.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
9357
345.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
7524
277.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
6539
242.1 IPS |
|
Text Classification (SP)
|
100% |
1499
2.00 KIPS |
|
Text Classification (HP)
|
100% |
1118
1.49 KIPS |
|
Text Classification (Q)
|
97% |
843
1.13 KIPS |
|
Machine Translation (SP)
|
100% |
2157
37.2 IPS |
|
Machine Translation (HP)
|
98% |
2183
37.7 IPS |
|
Machine Translation (Q)
|
70% |
1043
19.6 IPS |