| User | Zenux |
| Upload Date | September 05 2024 08:01 AM |
| Views | 27 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B650E AORUS MASTER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5397
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5361
997.0 IPS |
|
|
Image Classification (Q)
|
100% |
12037
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4568
74.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4479
72.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10956
177.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9420
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9524
11.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
37480
43.9 IPS |
|
|
Object Detection (SP)
|
100% |
4916
389.9 IPS |
|
|
Object Detection (HP)
|
100% |
4939
391.8 IPS |
|
|
Object Detection (Q)
|
88% |
13408
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
13452
159.8 IPS |
|
|
Face Detection (HP)
|
100% |
13496
160.4 IPS |
|
|
Face Detection (Q)
|
100% |
35039
416.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12475
96.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
12498
96.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
37754
299.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26667
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26603
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
96757
124.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6114
225.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19255
713.1 IPS |
|
|
Text Classification (SP)
|
100% |
4703
6.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4724
6.31 KIPS |
|
|
Text Classification (Q)
|
92% |
6113
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6835
117.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6819
117.5 IPS |
|
|
Machine Translation (Q)
|
85% |
9661
168.9 IPS |