| User | korokoroomusubi |
| Upload Date | March 08 2026 01:24 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF GAMING T500MV |
| Motherboard | ASUSTeK COMPUTER INC. T500MV |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5527
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
8994
1.67 KIPS |
|
|
Image Classification (Q)
|
99% |
4905
914.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9197
149.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12147
196.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8447
137.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
66508
77.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
220610
257.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
64893
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
7223
573.0 IPS |
|
|
Object Detection (HP)
|
100% |
11347
900.0 IPS |
|
|
Object Detection (Q)
|
87% |
6767
543.1 IPS |
|
|
Face Detection (SP)
|
100% |
16136
191.7 IPS |
|
|
Face Detection (HP)
|
100% |
24453
290.6 IPS |
|
|
Face Detection (Q)
|
97% |
15224
181.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
35306
272.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
75251
579.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
29752
237.9 IPS |
|
|
Style Transfer (SP)
|
100% |
106131
136.4 IPS |
|
|
Style Transfer (HP)
|
100% |
345529
444.2 IPS |
|
|
Style Transfer (Q)
|
98% |
89992
116.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19299
712.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37922
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15824
585.9 IPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1688
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2893
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3024
52.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1573
29.5 IPS |