| User | MiSA |
| Upload Date | October 20 2025 07:05 PM |
| Views | 6 |
| 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 | Gigabyte Technology Co., Ltd. B650I AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650I AX |
| Power Plan | Kiegyenslyozott |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3610
671.4 IPS |
|
|
Image Classification (HP)
|
100% |
3582
666.2 IPS |
|
|
Image Classification (Q)
|
100% |
10277
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4117
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3933
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10896
176.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6577
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
6540
7.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
25971
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3492
277.0 IPS |
|
|
Object Detection (HP)
|
100% |
3465
274.9 IPS |
|
|
Object Detection (Q)
|
88% |
10499
841.6 IPS |
|
|
Face Detection (SP)
|
100% |
7948
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
8032
95.4 IPS |
|
|
Face Detection (Q)
|
100% |
26325
312.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8559
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8569
66.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
27002
210.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18376
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18433
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
68497
88.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4269
157.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4231
156.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13704
507.5 IPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3398
4.54 KIPS |
|
|
Text Classification (Q)
|
92% |
5947
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6447
111.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6441
111.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9429
162.4 IPS |