| User | craigwood2012 |
| Upload Date | December 22 2025 05:44 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Tower Plus EBT2250 |
| Motherboard | Dell Inc. 02D3NT |
| Power Plan | High performance |
| 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% |
3980
740.2 IPS |
|
|
Image Classification (HP)
|
100% |
5995
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
7988
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3984
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8953
145.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11804
191.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12140
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11483
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38415
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
3656
290.0 IPS |
|
|
Object Detection (HP)
|
100% |
5843
463.5 IPS |
|
|
Object Detection (Q)
|
88% |
9422
755.1 IPS |
|
|
Face Detection (SP)
|
100% |
7891
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
16159
192.0 IPS |
|
|
Face Detection (Q)
|
100% |
24881
295.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12772
98.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
22195
171.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
26341
204.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31397
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39863
51.2 IPS |
|
|
Style Transfer (Q)
|
98% |
92661
119.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5277
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9459
349.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15383
569.7 IPS |
|
|
Text Classification (SP)
|
71% |
1597
2.31 KIPS |
|
|
Text Classification (HP)
|
71% |
2653
3.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2529
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2615
45.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3637
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3671
63.4 IPS |