| User | Kos72 |
| Upload Date | October 06 2024 07:39 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4402
818.7 IPS |
|
|
Image Classification (HP)
|
100% |
4389
816.3 IPS |
|
|
Image Classification (Q)
|
100% |
10086
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5860
95.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5959
96.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5257
85.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13277
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13329
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18490
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
4198
333.0 IPS |
|
|
Object Detection (HP)
|
100% |
4195
332.7 IPS |
|
|
Object Detection (Q)
|
88% |
5648
452.7 IPS |
|
|
Face Detection (SP)
|
100% |
13940
165.6 IPS |
|
|
Face Detection (HP)
|
100% |
13891
165.1 IPS |
|
|
Face Detection (Q)
|
100% |
15075
179.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13343
102.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13288
102.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
15438
120.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38137
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39071
50.2 IPS |
|
|
Style Transfer (Q)
|
98% |
41636
53.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6259
231.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6275
231.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9534
353.1 IPS |
|
|
Text Classification (SP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (Q)
|
92% |
5117
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3824
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3784
65.2 IPS |