| User | Patrick_ServeTheHome |
| Upload Date | November 22 2025 05:59 PM |
| Views | 2 |
| 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 Pro Max 18 Plus MB18250 |
| Motherboard | Dell Inc. 0H2WHD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4116
765.4 IPS |
|
|
Image Classification (HP)
|
100% |
6085
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8114
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4309
69.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9447
153.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12187
197.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12162
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11371
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38331
44.9 IPS |
|
|
Object Detection (SP)
|
100% |
3806
301.9 IPS |
|
|
Object Detection (HP)
|
100% |
5859
464.7 IPS |
|
|
Object Detection (Q)
|
88% |
9514
762.5 IPS |
|
|
Face Detection (SP)
|
100% |
8888
105.6 IPS |
|
|
Face Detection (HP)
|
100% |
17293
205.5 IPS |
|
|
Face Detection (Q)
|
100% |
26338
312.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13094
100.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
22912
177.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
26586
206.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30203
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
42131
54.2 IPS |
|
|
Style Transfer (Q)
|
98% |
90097
116.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9461
349.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14501
537.0 IPS |
|
|
Text Classification (SP)
|
71% |
942
1.36 KIPS |
|
|
Text Classification (HP)
|
71% |
2421
3.50 KIPS |
|
|
Text Classification (Q)
|
92% |
2457
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3796
65.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3788
65.5 IPS |