| User | SkatterBencher |
| Upload Date | April 27 2025 06:39 AM |
| Views | 12 |
| 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% |
6725
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
9735
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
13820
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9196
149.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3714
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4673
75.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16261
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
45794
53.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
98722
115.6 IPS |
|
|
Object Detection (SP)
|
100% |
7013
556.3 IPS |
|
|
Object Detection (HP)
|
100% |
8335
661.2 IPS |
|
|
Object Detection (Q)
|
87% |
13773
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
19194
228.1 IPS |
|
|
Face Detection (HP)
|
100% |
24225
287.8 IPS |
|
|
Face Detection (Q)
|
100% |
45298
538.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16979
130.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25967
200.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
48955
380.9 IPS |
|
|
Style Transfer (SP)
|
100% |
45284
58.2 IPS |
|
|
Style Transfer (HP)
|
100% |
73257
94.2 IPS |
|
|
Style Transfer (Q)
|
98% |
128081
165.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9711
358.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19434
717.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33028
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4620
6.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (Q)
|
92% |
3039
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4552
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6260
107.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6352
109.4 IPS |