| User | nithinmohantk |
| Upload Date | March 03 2026 11:07 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| 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% |
7673
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
8223
1.53 KIPS |
|
|
Image Classification (Q)
|
99% |
7106
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10665
172.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11529
186.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11907
193.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
176284
205.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
429668
501.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
154538
181.0 IPS |
|
|
Object Detection (SP)
|
100% |
9990
792.4 IPS |
|
|
Object Detection (HP)
|
99% |
10827
858.8 IPS |
|
|
Object Detection (Q)
|
87% |
8827
709.0 IPS |
|
|
Face Detection (SP)
|
100% |
27809
330.4 IPS |
|
|
Face Detection (HP)
|
100% |
30797
365.9 IPS |
|
|
Face Detection (Q)
|
97% |
25091
299.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
62417
480.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78111
601.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
46493
372.6 IPS |
|
|
Style Transfer (SP)
|
100% |
308794
397.0 IPS |
|
|
Style Transfer (HP)
|
100% |
494199
635.3 IPS |
|
|
Style Transfer (Q)
|
98% |
271083
349.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33774
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45635
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24561
909.5 IPS |
|
|
Text Classification (SP)
|
100% |
1966
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2142
2.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1372
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3074
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1555
29.2 IPS |