| User | SkatterBencher |
| Upload Date | April 12 2025 04:18 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3969
738.1 IPS |
|
|
Image Classification (HP)
|
100% |
6635
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
8785
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4873
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10261
166.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13977
226.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12303
14.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
11473
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37249
43.6 IPS |
|
|
Object Detection (SP)
|
100% |
3836
304.2 IPS |
|
|
Object Detection (HP)
|
100% |
6391
507.0 IPS |
|
|
Object Detection (Q)
|
88% |
10254
821.7 IPS |
|
|
Face Detection (SP)
|
100% |
10253
121.8 IPS |
|
|
Face Detection (HP)
|
100% |
18536
220.2 IPS |
|
|
Face Detection (Q)
|
100% |
27216
323.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13491
103.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
23651
182.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
26685
207.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30692
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
42691
54.9 IPS |
|
|
Style Transfer (Q)
|
98% |
85665
110.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5432
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9429
348.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15666
580.2 IPS |
|
|
Text Classification (SP)
|
71% |
1840
2.66 KIPS |
|
|
Text Classification (HP)
|
71% |
2792
4.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2916
3.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
96% |
3596
62.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3568
61.5 IPS |