| User | Ricochet |
| Upload Date | November 19 2025 09:26 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRHU7 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU7 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3132
582.5 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.2 IPS |
|
|
Image Classification (Q)
|
99% |
7215
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9245
150.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6521
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5367
6.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
22810
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
3057
242.5 IPS |
|
|
Object Detection (HP)
|
100% |
826
65.5 IPS |
|
|
Object Detection (Q)
|
86% |
6032
484.8 IPS |
|
|
Face Detection (SP)
|
100% |
9005
107.0 IPS |
|
|
Face Detection (HP)
|
100% |
1949
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
9356
111.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8549
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2617
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15767
125.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15144
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8117
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17820
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2677
98.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2438
90.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5833
216.0 IPS |
|
|
Text Classification (SP)
|
100% |
1673
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1508
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2396
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3442
69.2 IPS |