| Upload Date | November 07 2025 12:28 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870 Riptide WiFi |
| Motherboard | ASRock X870 Riptide WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4582
852.1 IPS |
|
|
Image Classification (HP)
|
100% |
4628
860.6 IPS |
|
|
Image Classification (Q)
|
100% |
11973
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5438
88.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5234
84.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14936
242.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13960
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13934
16.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
59015
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
4419
350.5 IPS |
|
|
Object Detection (HP)
|
100% |
4535
359.7 IPS |
|
|
Object Detection (Q)
|
88% |
12076
968.1 IPS |
|
|
Face Detection (SP)
|
100% |
9558
113.6 IPS |
|
|
Face Detection (HP)
|
100% |
9282
110.3 IPS |
|
|
Face Detection (Q)
|
100% |
32560
386.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9608
74.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10284
79.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
38584
300.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35815
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35855
46.1 IPS |
|
|
Style Transfer (Q)
|
98% |
139952
180.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7687
283.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7913
292.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22506
833.5 IPS |
|
|
Text Classification (SP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3610
4.82 KIPS |
|
|
Text Classification (Q)
|
92% |
4187
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5569
95.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5488
94.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6340
109.2 IPS |