| User | NeilB |
| Upload Date | April 04 2025 01:57 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7673
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
7802
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
19406
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13475
218.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12434
201.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
34774
563.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33454
39.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
33693
39.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
135542
158.7 IPS |
|
|
Object Detection (SP)
|
100% |
9013
714.9 IPS |
|
|
Object Detection (HP)
|
100% |
9881
783.8 IPS |
|
|
Object Detection (Q)
|
88% |
21944
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
23807
282.9 IPS |
|
|
Face Detection (HP)
|
100% |
23441
278.5 IPS |
|
|
Face Detection (Q)
|
100% |
63660
756.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
29528
227.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
29262
225.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
78718
612.7 IPS |
|
|
Style Transfer (SP)
|
100% |
85784
110.3 IPS |
|
|
Style Transfer (HP)
|
100% |
85562
110.0 IPS |
|
|
Style Transfer (Q)
|
98% |
311120
401.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15924
588.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15663
578.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42119
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
5375
7.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4831
6.45 KIPS |
|
|
Text Classification (Q)
|
92% |
5654
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
9115
157.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8984
154.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9688
166.9 IPS |