| User | nithinmohantk |
| Upload Date | March 03 2026 10:33 AM |
| 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% |
7003
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
8820
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
5118
951.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11404
184.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14192
230.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8950
145.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
160275
187.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
304015
354.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
123812
145.1 IPS |
|
|
Object Detection (SP)
|
100% |
9060
718.6 IPS |
|
|
Object Detection (HP)
|
100% |
11449
908.1 IPS |
|
|
Object Detection (Q)
|
85% |
6711
539.8 IPS |
|
|
Face Detection (SP)
|
100% |
24675
293.2 IPS |
|
|
Face Detection (HP)
|
100% |
31095
369.5 IPS |
|
|
Face Detection (Q)
|
97% |
17492
208.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
53086
409.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84648
652.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
32761
262.4 IPS |
|
|
Style Transfer (SP)
|
100% |
240273
308.9 IPS |
|
|
Style Transfer (HP)
|
100% |
485098
623.6 IPS |
|
|
Style Transfer (Q)
|
98% |
177997
229.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30646
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39545
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19001
703.6 IPS |
|
|
Text Classification (SP)
|
100% |
2069
2.76 KIPS |
|
|
Text Classification (HP)
|
99% |
2446
3.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1207
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3012
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2946
50.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1283
24.1 IPS |