| User | SiggiTron |
| Upload Date | May 08 2025 12:49 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASRock B650E PG-ITX WiFi |
| Motherboard | ASRock B650E PG-ITX WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.45 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.44 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3883
722.2 IPS |
|
|
Image Classification (HP)
|
100% |
3849
715.7 IPS |
|
|
Image Classification (Q)
|
100% |
11310
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4329
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4263
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11652
188.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6827
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
6840
7.98 IPS |
|
|
Pose Estimation (Q)
|
98% |
27282
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
3748
297.3 IPS |
|
|
Object Detection (HP)
|
100% |
3769
298.9 IPS |
|
|
Object Detection (Q)
|
88% |
11557
926.4 IPS |
|
|
Face Detection (SP)
|
100% |
8879
105.5 IPS |
|
|
Face Detection (HP)
|
100% |
8917
106.0 IPS |
|
|
Face Detection (Q)
|
100% |
28340
336.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9189
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9199
70.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
29700
231.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19201
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19249
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
72365
93.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4423
163.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4459
164.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14873
550.8 IPS |
|
|
Text Classification (SP)
|
100% |
3650
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3630
4.85 KIPS |
|
|
Text Classification (Q)
|
92% |
6661
8.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
7305
125.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7358
126.7 IPS |
|
|
Machine Translation (Q)
|
100% |
11045
190.3 IPS |