| User | SkatterBencher |
| Upload Date | April 24 2025 11:58 PM |
| Views | 11 |
| 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% |
5692
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8597
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
11184
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5883
95.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13020
211.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18095
293.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17094
19.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
15969
18.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
51744
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
5260
417.2 IPS |
|
|
Object Detection (HP)
|
100% |
8130
644.9 IPS |
|
|
Object Detection (Q)
|
88% |
13307
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
11745
139.6 IPS |
|
|
Face Detection (HP)
|
100% |
22092
262.5 IPS |
|
|
Face Detection (Q)
|
100% |
33250
395.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18141
139.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
31566
244.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
36006
279.9 IPS |
|
|
Style Transfer (SP)
|
100% |
41981
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
57028
73.3 IPS |
|
|
Style Transfer (Q)
|
98% |
119105
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7475
276.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13408
495.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21009
778.0 IPS |
|
|
Text Classification (SP)
|
71% |
2267
3.28 KIPS |
|
|
Text Classification (HP)
|
71% |
3454
5.00 KIPS |
|
|
Text Classification (Q)
|
92% |
3610
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
96% |
4403
76.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4450
76.6 IPS |