| User | jzwVIC |
| Upload Date | August 20 2024 03:25 PM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-E GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4597
854.9 IPS |
|
|
Image Classification (HP)
|
100% |
4592
854.0 IPS |
|
|
Image Classification (Q)
|
100% |
10827
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5014
81.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4937
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12141
196.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8752
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8744
10.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
34207
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
4373
346.9 IPS |
|
|
Object Detection (HP)
|
100% |
4338
344.1 IPS |
|
|
Object Detection (Q)
|
88% |
11568
927.3 IPS |
|
|
Face Detection (SP)
|
100% |
12849
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
12785
151.9 IPS |
|
|
Face Detection (Q)
|
100% |
30582
363.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11699
90.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
11715
90.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
33861
268.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24483
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24439
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88592
114.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5483
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5497
203.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17136
634.6 IPS |
|
|
Text Classification (SP)
|
100% |
4108
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4104
5.48 KIPS |
|
|
Text Classification (Q)
|
92% |
5913
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
6051
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6038
104.0 IPS |
|
|
Machine Translation (Q)
|
85% |
7866
137.5 IPS |