| User | BantalBambu |
| Upload Date | May 07 2025 02:58 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B650M-AYW WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3731
693.9 IPS |
|
|
Image Classification (HP)
|
100% |
3729
693.5 IPS |
|
|
Image Classification (Q)
|
100% |
10621
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4261
69.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4326
70.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11366
184.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6800
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
6837
7.98 IPS |
|
|
Pose Estimation (Q)
|
98% |
26681
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
3752
297.6 IPS |
|
|
Object Detection (HP)
|
100% |
3750
297.4 IPS |
|
|
Object Detection (Q)
|
88% |
10831
868.3 IPS |
|
|
Face Detection (SP)
|
100% |
10157
120.7 IPS |
|
|
Face Detection (HP)
|
100% |
10169
120.8 IPS |
|
|
Face Detection (Q)
|
100% |
26812
318.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9208
70.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9193
70.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
28408
221.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19046
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18958
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
69223
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4398
162.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14230
527.0 IPS |
|
|
Text Classification (SP)
|
100% |
3480
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (Q)
|
92% |
6047
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6695
115.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6752
116.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9650
166.2 IPS |