| User | luakri |
| Upload Date | October 22 2024 09:21 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z390 DARK |
| Motherboard | EVGA Corp. Z390 DARK |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3997
743.2 IPS |
|
|
Image Classification (HP)
|
100% |
4112
764.6 IPS |
|
|
Image Classification (Q)
|
100% |
5829
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3974
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5796
94.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8540
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
8571
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
16319
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
3852
305.5 IPS |
|
|
Object Detection (HP)
|
100% |
3886
308.3 IPS |
|
|
Object Detection (Q)
|
87% |
5821
466.9 IPS |
|
|
Face Detection (SP)
|
100% |
7875
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
7900
93.9 IPS |
|
|
Face Detection (Q)
|
97% |
16263
193.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10806
83.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10787
83.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
16920
133.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25135
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25271
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
46417
59.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5152
190.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5201
192.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9258
342.9 IPS |
|
|
Text Classification (SP)
|
100% |
1595
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1614
2.15 KIPS |
|
|
Text Classification (Q)
|
91% |
1237
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5038
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5110
88.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5060
87.2 IPS |