| User | uehashu |
| Upload Date | August 10 2025 09:22 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI-CF |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1908
354.9 IPS |
|
|
Image Classification (HP)
|
100% |
1868
347.3 IPS |
|
|
Image Classification (Q)
|
100% |
1997
371.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2654
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4627
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4661
5.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
5083
5.96 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (Q)
|
87% |
2248
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
4130
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
4154
49.4 IPS |
|
|
Face Detection (Q)
|
97% |
6960
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5164
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5258
40.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
5684
44.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12842
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12920
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14138
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2624
96.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2601
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2908
107.7 IPS |
|
|
Text Classification (SP)
|
100% |
1699
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1771
2.36 KIPS |
|
|
Text Classification (Q)
|
91% |
658
884.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2636
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2620
45.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2633
45.3 IPS |