| User | BeanBagKing |
| Upload Date | April 15 2025 12:32 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z390-E GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (HP)
|
100% |
1826
339.6 IPS |
|
|
Image Classification (Q)
|
100% |
3032
563.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3595
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4156
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3503
4.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
8191
9.61 IPS |
|
|
Object Detection (SP)
|
100% |
1942
154.0 IPS |
|
|
Object Detection (HP)
|
100% |
1976
156.8 IPS |
|
|
Object Detection (Q)
|
87% |
3432
275.2 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3361
39.9 IPS |
|
|
Face Detection (Q)
|
97% |
9075
108.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5324
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5697
43.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
8441
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11960
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11583
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
33013
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3634
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3940
145.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4640
171.9 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2760
3.68 KIPS |
|
|
Text Classification (Q)
|
91% |
885
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3358
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3845
66.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3919
67.5 IPS |