| User | AndRusha |
| Upload Date | August 20 2024 05:25 PM |
| Views | 27 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS XTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4157
773.1 IPS |
|
|
Image Classification (HP)
|
100% |
4238
788.2 IPS |
|
|
Image Classification (Q)
|
100% |
9679
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5166
83.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5145
83.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9740
157.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10299
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10284
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34446
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
3683
292.1 IPS |
|
|
Object Detection (HP)
|
100% |
3673
291.3 IPS |
|
|
Object Detection (Q)
|
88% |
10331
828.2 IPS |
|
|
Face Detection (SP)
|
100% |
12122
144.0 IPS |
|
|
Face Detection (HP)
|
100% |
12160
144.5 IPS |
|
|
Face Detection (Q)
|
100% |
25197
299.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10534
81.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
10449
80.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
29638
234.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27357
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27300
35.1 IPS |
|
|
Style Transfer (Q)
|
98% |
87272
112.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5522
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5552
205.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17821
660.0 IPS |
|
|
Text Classification (SP)
|
100% |
1673
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
4805
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3255
56.1 IPS |
|
|
Machine Translation (Q)
|
85% |
6381
111.6 IPS |