| User | SkatterBencher |
| Upload Date | April 12 2025 06:25 AM |
| Views | 15 |
| 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% |
6601
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
6979
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
10148
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9155
148.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2713
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3601
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16172
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33812
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
72180
84.6 IPS |
|
|
Object Detection (SP)
|
100% |
7021
556.9 IPS |
|
|
Object Detection (HP)
|
100% |
5071
402.2 IPS |
|
|
Object Detection (Q)
|
89% |
9081
727.3 IPS |
|
|
Face Detection (SP)
|
100% |
18909
224.7 IPS |
|
|
Face Detection (HP)
|
100% |
14651
174.1 IPS |
|
|
Face Detection (Q)
|
100% |
29032
345.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16964
130.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17770
136.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
35606
277.0 IPS |
|
|
Style Transfer (SP)
|
100% |
45077
57.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53871
69.3 IPS |
|
|
Style Transfer (Q)
|
98% |
97353
125.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9663
356.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12946
478.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21368
791.3 IPS |
|
|
Text Classification (SP)
|
100% |
4581
6.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (Q)
|
92% |
1060
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4390
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3442
59.3 IPS |