| User | cuber |
| Upload Date | October 28 2025 10:07 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora ACT1250 |
| Motherboard | Alienware 01CVX5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11048
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
19344
3.60 KIPS |
|
|
Image Classification (Q)
|
100% |
9962
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21562
349.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
32561
527.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19487
316.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
168466
196.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
489072
570.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
144584
169.4 IPS |
|
|
Object Detection (SP)
|
100% |
14910
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
24272
1.93 KIPS |
|
|
Object Detection (Q)
|
83% |
12597
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
41134
488.8 IPS |
|
|
Face Detection (HP)
|
100% |
61653
732.6 IPS |
|
|
Face Detection (Q)
|
97% |
35008
417.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
69434
534.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
136438
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55636
444.1 IPS |
|
|
Style Transfer (SP)
|
100% |
233735
300.5 IPS |
|
|
Style Transfer (HP)
|
100% |
788528
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
199895
257.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41323
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74306
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33122
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4739
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2393
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6097
105.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6245
107.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2903
54.5 IPS |