| User | r1348 |
| Upload Date | March 28 2025 03:02 PM |
| Views | 19 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock X870E Nova WiFi |
| Motherboard | ASRock X870E Nova WiFi |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8879
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
8815
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
18377
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9322
151.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9176
148.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21558
349.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17683
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17723
20.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
69437
81.3 IPS |
|
|
Object Detection (SP)
|
100% |
9007
714.4 IPS |
|
|
Object Detection (HP)
|
100% |
9057
718.4 IPS |
|
|
Object Detection (Q)
|
88% |
20679
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
27385
325.4 IPS |
|
|
Face Detection (HP)
|
100% |
27448
326.1 IPS |
|
|
Face Detection (Q)
|
100% |
50517
600.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23941
184.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23972
184.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
60949
474.2 IPS |
|
|
Style Transfer (SP)
|
100% |
50228
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50185
64.5 IPS |
|
|
Style Transfer (Q)
|
98% |
177655
229.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11118
410.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11087
409.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32149
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
6840
9.13 KIPS |
|
|
Text Classification (HP)
|
100% |
6813
9.09 KIPS |
|
|
Text Classification (Q)
|
92% |
9209
12.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
9266
159.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9277
159.8 IPS |
|
|
Machine Translation (Q)
|
100% |
10476
180.4 IPS |