| User | rolkit |
| Upload Date | August 16 2024 01:33 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4965
923.2 IPS |
|
|
Image Classification (HP)
|
100% |
4968
923.9 IPS |
|
|
Image Classification (Q)
|
100% |
11664
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4228
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4248
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10293
166.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8808
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8790
10.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
35090
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
4533
359.6 IPS |
|
|
Object Detection (HP)
|
100% |
4502
357.1 IPS |
|
|
Object Detection (Q)
|
88% |
12337
988.9 IPS |
|
|
Face Detection (SP)
|
100% |
12385
147.2 IPS |
|
|
Face Detection (HP)
|
100% |
12411
147.5 IPS |
|
|
Face Detection (Q)
|
100% |
32630
387.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11570
89.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
11484
88.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
34894
276.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24289
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24514
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
88889
114.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5589
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5597
206.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17897
662.8 IPS |
|
|
Text Classification (SP)
|
100% |
4377
5.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4220
5.63 KIPS |
|
|
Text Classification (Q)
|
92% |
5800
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
6434
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6520
112.3 IPS |
|
|
Machine Translation (Q)
|
85% |
8829
154.3 IPS |