| Upload Date | November 11 2025 04:02 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6033
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
11358
2.11 KIPS |
|
|
Image Classification (Q)
|
99% |
5685
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10510
170.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16349
265.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9763
158.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
68933
80.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
233167
272.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
68109
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
7666
608.1 IPS |
|
|
Object Detection (HP)
|
100% |
12744
1.01 KIPS |
|
|
Object Detection (Q)
|
87% |
6933
556.4 IPS |
|
|
Face Detection (SP)
|
100% |
18658
221.7 IPS |
|
|
Face Detection (HP)
|
100% |
31783
377.6 IPS |
|
|
Face Detection (Q)
|
97% |
17077
203.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
35424
272.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
79249
610.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
30267
242.0 IPS |
|
|
Style Transfer (SP)
|
100% |
105626
135.8 IPS |
|
|
Style Transfer (HP)
|
100% |
359489
462.1 IPS |
|
|
Style Transfer (Q)
|
98% |
90131
116.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20488
756.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41820
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16537
612.4 IPS |
|
|
Text Classification (SP)
|
100% |
2896
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1866
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3831
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4095
70.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1749
32.8 IPS |