| User | HippoPCBuilder |
| Upload Date | August 29 2024 03:10 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-R |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2834
527.1 IPS |
|
|
Image Classification (HP)
|
100% |
2832
526.7 IPS |
|
|
Image Classification (Q)
|
100% |
8462
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1719
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6895
111.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6041
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
6043
7.05 IPS |
|
|
Pose Estimation (Q)
|
98% |
23656
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (Q)
|
88% |
8288
664.4 IPS |
|
|
Face Detection (SP)
|
100% |
5927
70.4 IPS |
|
|
Face Detection (HP)
|
100% |
5879
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
20695
245.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7808
60.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
6495
50.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
21057
166.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16078
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15965
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
61815
79.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3463
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3447
127.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12330
456.6 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (Q)
|
92% |
4603
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4288
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4190
72.2 IPS |
|
|
Machine Translation (Q)
|
85% |
6377
111.5 IPS |