| User | gak7931 |
| Upload Date | November 25 2025 05:59 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock X870E Taichi |
| Motherboard | ASRock X870E Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6034
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
5850
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
15036
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9107
147.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6929
112.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23372
378.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29700
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
29758
34.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
70421
82.4 IPS |
|
|
Object Detection (SP)
|
100% |
8471
671.9 IPS |
|
|
Object Detection (HP)
|
100% |
8463
671.3 IPS |
|
|
Object Detection (Q)
|
88% |
19134
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
17934
213.1 IPS |
|
|
Face Detection (HP)
|
100% |
18358
218.1 IPS |
|
|
Face Detection (Q)
|
100% |
51032
606.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24393
187.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22776
175.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
64342
500.7 IPS |
|
|
Style Transfer (SP)
|
100% |
77483
99.6 IPS |
|
|
Style Transfer (HP)
|
100% |
78141
100.5 IPS |
|
|
Style Transfer (Q)
|
98% |
271101
349.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14397
531.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14630
540.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38347
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4901
6.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4632
6.18 KIPS |
|
|
Text Classification (Q)
|
92% |
5554
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
8613
148.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8492
146.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9025
155.5 IPS |