| User | nithinmohantk |
| Upload Date | March 02 2026 09:29 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 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% |
7733
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8513
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
6309
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11323
183.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13616
220.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9796
159.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
117933
137.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
327908
382.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
99885
117.0 IPS |
|
|
Object Detection (SP)
|
100% |
8250
654.4 IPS |
|
|
Object Detection (HP)
|
99% |
10057
797.7 IPS |
|
|
Object Detection (Q)
|
87% |
6894
553.7 IPS |
|
|
Face Detection (SP)
|
100% |
21929
260.6 IPS |
|
|
Face Detection (HP)
|
100% |
26743
317.8 IPS |
|
|
Face Detection (Q)
|
97% |
17799
212.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
54477
419.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
68669
529.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38661
310.0 IPS |
|
|
Style Transfer (SP)
|
100% |
212315
272.9 IPS |
|
|
Style Transfer (HP)
|
100% |
371973
478.2 IPS |
|
|
Style Transfer (Q)
|
98% |
175364
226.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31026
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49036
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20422
756.2 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1461
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1545
29.0 IPS |