| Upload Date | November 18 2025 05:24 PM |
| Views | 2 |
| 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 | Dell Inc. Dell Pro Max 16 Premium MA16250 |
| Motherboard | Dell Inc. 0Y23GK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3589
667.4 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.5 IPS |
|
|
Image Classification (Q)
|
99% |
7739
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10362
168.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7788
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
5289
6.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
27388
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
3397
269.4 IPS |
|
|
Object Detection (HP)
|
100% |
856
67.9 IPS |
|
|
Object Detection (Q)
|
86% |
7656
615.3 IPS |
|
|
Face Detection (SP)
|
100% |
10138
120.5 IPS |
|
|
Face Detection (HP)
|
100% |
1931
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
9728
116.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9777
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2746
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15951
127.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18598
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12720
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21106
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2868
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1943
71.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5565
206.0 IPS |
|
|
Text Classification (SP)
|
100% |
1624
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1485
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3326
66.8 IPS |