| User | Jfftdrl |
| Upload Date | January 23 2026 06:42 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Dell Tower Plus EBT2250 |
| Motherboard | Dell Inc. 02D3NT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10125
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17258
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
9362
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19397
314.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
29503
478.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18313
297.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
161197
188.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
462724
539.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
140636
164.7 IPS |
|
|
Object Detection (SP)
|
100% |
13736
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
21963
1.74 KIPS |
|
|
Object Detection (Q)
|
83% |
11703
945.5 IPS |
|
|
Face Detection (SP)
|
100% |
38097
452.7 IPS |
|
|
Face Detection (HP)
|
100% |
54344
645.7 IPS |
|
|
Face Detection (Q)
|
97% |
32360
385.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
65788
506.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
126484
974.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
52485
418.9 IPS |
|
|
Style Transfer (SP)
|
100% |
222669
286.2 IPS |
|
|
Style Transfer (HP)
|
100% |
735122
945.0 IPS |
|
|
Style Transfer (Q)
|
98% |
191670
247.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38692
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69215
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30956
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4675
6.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2151
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5604
96.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5662
97.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2616
49.1 IPS |