| User | akemin_dayo |
| Upload Date | May 05 2025 08:41 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350M-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3197
594.6 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.8 IPS |
|
|
Image Classification (Q)
|
100% |
4972
924.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4034
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4137
67.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6004
97.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6163
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6255
7.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
12720
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
3153
250.1 IPS |
|
|
Object Detection (HP)
|
100% |
3202
254.0 IPS |
|
|
Object Detection (Q)
|
87% |
5012
402.0 IPS |
|
|
Face Detection (SP)
|
100% |
10407
123.7 IPS |
|
|
Face Detection (HP)
|
100% |
10385
123.4 IPS |
|
|
Face Detection (Q)
|
97% |
14969
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7899
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7874
60.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
13961
110.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17964
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18126
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35757
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7339
271.8 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (Q)
|
91% |
1112
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4685
80.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4758
82.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4769
82.1 IPS |