| User | nithinmohantk |
| Upload Date | March 11 2026 09:21 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 Plus MB16250 |
| Motherboard | Dell Inc. 05PR76 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7253
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
9142
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
5184
964.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11585
187.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14358
232.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9089
147.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
164909
192.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
312863
365.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
122478
143.5 IPS |
|
|
Object Detection (SP)
|
100% |
9238
732.8 IPS |
|
|
Object Detection (HP)
|
100% |
12003
952.1 IPS |
|
|
Object Detection (Q)
|
85% |
6870
552.6 IPS |
|
|
Face Detection (SP)
|
100% |
24997
297.0 IPS |
|
|
Face Detection (HP)
|
100% |
30711
364.9 IPS |
|
|
Face Detection (Q)
|
97% |
17965
214.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
53797
414.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86257
664.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
33448
267.9 IPS |
|
|
Style Transfer (SP)
|
100% |
243510
313.0 IPS |
|
|
Style Transfer (HP)
|
100% |
501211
644.3 IPS |
|
|
Style Transfer (Q)
|
98% |
179860
231.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32192
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41633
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19024
704.4 IPS |
|
|
Text Classification (SP)
|
100% |
2103
2.81 KIPS |
|
|
Text Classification (HP)
|
99% |
2584
3.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1186
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1305
24.5 IPS |