| Upload Date | November 13 2025 06:08 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570 Pro4 |
| Motherboard | ASRock X570 Pro4 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2232
415.1 IPS |
|
|
Image Classification (HP)
|
100% |
2222
413.2 IPS |
|
|
Image Classification (Q)
|
100% |
2936
546.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3576
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5708
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4963
5.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
5834
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
100% |
1255
99.5 IPS |
|
|
Object Detection (Q)
|
87% |
1947
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
2823
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (Q)
|
97% |
7539
89.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4340
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4506
34.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
6484
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9409
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9975
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16812
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2125
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3364
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
1698
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1589
2.12 KIPS |
|
|
Text Classification (Q)
|
91% |
459
616.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1946
33.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2161
37.2 IPS |