| User | SkatterBencher |
| Upload Date | April 12 2025 02:49 AM |
| Views | 8 |
| 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% |
4078
758.3 IPS |
|
|
Image Classification (HP)
|
100% |
6577
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
8717
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4711
76.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9540
154.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13775
223.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12274
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11460
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37189
43.5 IPS |
|
|
Object Detection (SP)
|
100% |
3851
305.5 IPS |
|
|
Object Detection (HP)
|
100% |
6340
502.9 IPS |
|
|
Object Detection (Q)
|
88% |
10185
816.2 IPS |
|
|
Face Detection (SP)
|
100% |
9766
116.0 IPS |
|
|
Face Detection (HP)
|
100% |
17821
211.8 IPS |
|
|
Face Detection (Q)
|
100% |
26712
317.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13490
103.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
23467
181.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26501
206.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30603
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42578
54.7 IPS |
|
|
Style Transfer (Q)
|
98% |
86092
111.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5457
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9796
361.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15668
580.3 IPS |
|
|
Text Classification (SP)
|
71% |
1837
2.66 KIPS |
|
|
Text Classification (HP)
|
71% |
2781
4.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2927
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
96% |
3553
61.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3578
61.6 IPS |