| User | MOSTAFA_ABBASI |
| Upload Date | February 14 2025 04:14 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4059
754.8 IPS |
|
|
Image Classification (HP)
|
100% |
4056
754.3 IPS |
|
|
Image Classification (Q)
|
100% |
10596
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4449
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4400
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11137
180.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7581
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
7582
8.85 IPS |
|
|
Pose Estimation (Q)
|
98% |
29525
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4079
323.6 IPS |
|
|
Object Detection (HP)
|
100% |
4064
322.4 IPS |
|
|
Object Detection (Q)
|
88% |
11364
910.9 IPS |
|
|
Face Detection (SP)
|
100% |
11328
134.6 IPS |
|
|
Face Detection (HP)
|
100% |
11230
133.4 IPS |
|
|
Face Detection (Q)
|
100% |
29431
349.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10186
78.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10169
78.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30334
236.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20908
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20927
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
77419
99.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4819
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15547
575.8 IPS |
|
|
Text Classification (SP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (Q)
|
92% |
6253
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6532
112.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6501
112.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6912
119.1 IPS |