| User | SkatterBencher |
| Upload Date | April 30 2025 11:25 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
6727
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
9750
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
13838
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9017
146.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3720
60.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4662
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16284
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
45806
53.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
99322
116.3 IPS |
|
|
Object Detection (SP)
|
100% |
6958
551.9 IPS |
|
|
Object Detection (HP)
|
100% |
8307
658.9 IPS |
|
|
Object Detection (Q)
|
87% |
13785
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
19123
227.2 IPS |
|
|
Face Detection (HP)
|
100% |
24305
288.8 IPS |
|
|
Face Detection (Q)
|
100% |
45494
540.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16949
130.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
26020
200.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
48999
381.3 IPS |
|
|
Style Transfer (SP)
|
100% |
45272
58.2 IPS |
|
|
Style Transfer (HP)
|
100% |
73070
93.9 IPS |
|
|
Style Transfer (Q)
|
98% |
130865
168.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9725
359.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19505
720.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33071
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4530
6.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (Q)
|
92% |
3049
4.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6307
108.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6382
109.9 IPS |