| User | mattks92 |
| Upload Date | May 18 2025 01:02 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K3605ZF_K3605ZF |
| Motherboard | ASUSTeK COMPUTER INC. K3605ZF |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3035
564.5 IPS |
|
|
Image Classification (HP)
|
99% |
5495
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
2476
461.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3921
63.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6347
102.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3218
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
26895
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89532
104.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
22136
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
3294
261.3 IPS |
|
|
Object Detection (HP)
|
100% |
6421
509.3 IPS |
|
|
Object Detection (Q)
|
84% |
2781
224.3 IPS |
|
|
Face Detection (SP)
|
100% |
6193
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
11125
132.2 IPS |
|
|
Face Detection (Q)
|
97% |
5089
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16194
124.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
32700
251.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
11685
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
54528
70.1 IPS |
|
|
Style Transfer (HP)
|
100% |
146000
187.7 IPS |
|
|
Style Transfer (Q)
|
98% |
40367
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8464
312.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18128
669.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5586
206.8 IPS |
|
|
Text Classification (SP)
|
100% |
1851
2.47 KIPS |
|
|
Text Classification (HP)
|
99% |
2314
3.09 KIPS |
|
|
Text Classification (Q)
|
97% |
949
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2090
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (Q)
|
70% |
917
17.2 IPS |