| User | teknoseyir |
| Upload Date | June 20 2025 02:32 PM |
| Views | 13 |
| 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. PRIME B650M-R |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3602
669.9 IPS |
|
|
Image Classification (HP)
|
100% |
3592
667.9 IPS |
|
|
Image Classification (Q)
|
100% |
10235
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4008
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4059
65.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11109
180.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6585
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
6604
7.71 IPS |
|
|
Pose Estimation (Q)
|
98% |
26001
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3544
281.1 IPS |
|
|
Object Detection (HP)
|
100% |
3547
281.3 IPS |
|
|
Object Detection (Q)
|
88% |
10569
847.2 IPS |
|
|
Face Detection (SP)
|
100% |
9540
113.4 IPS |
|
|
Face Detection (HP)
|
100% |
9583
113.9 IPS |
|
|
Face Detection (Q)
|
100% |
26101
310.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8845
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8908
68.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
27470
213.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18123
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18334
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
68175
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4191
154.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4218
155.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13675
506.5 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (Q)
|
92% |
5833
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
6585
113.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6658
114.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9385
161.7 IPS |