| Upload Date | November 10 2025 04:04 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7500X3D 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO X3D ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO X3D ICE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500X3D 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3221
599.0 IPS |
|
|
Image Classification (HP)
|
100% |
3136
583.2 IPS |
|
|
Image Classification (Q)
|
100% |
9254
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3707
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3492
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10016
162.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5757
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
5775
6.74 IPS |
|
|
Pose Estimation (Q)
|
98% |
23367
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
3188
252.9 IPS |
|
|
Object Detection (HP)
|
100% |
3277
259.9 IPS |
|
|
Object Detection (Q)
|
88% |
9672
775.3 IPS |
|
|
Face Detection (SP)
|
100% |
9565
113.6 IPS |
|
|
Face Detection (HP)
|
100% |
9255
110.0 IPS |
|
|
Face Detection (Q)
|
100% |
24301
288.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7908
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8039
61.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
23823
185.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16045
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16110
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
60103
77.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3641
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12332
456.7 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (Q)
|
92% |
5360
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5931
102.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6010
103.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7825
134.8 IPS |