| Upload Date | October 31 2025 10:45 AM |
| Views | 3 |
| 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 STRIX X870E-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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% |
6646
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
7224
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
17690
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9717
157.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9565
155.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25666
416.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
30077
35.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30461
35.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
120482
141.1 IPS |
|
|
Object Detection (SP)
|
100% |
8540
677.4 IPS |
|
|
Object Detection (HP)
|
100% |
8803
698.3 IPS |
|
|
Object Detection (Q)
|
88% |
19693
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
18172
215.9 IPS |
|
|
Face Detection (HP)
|
100% |
17563
208.7 IPS |
|
|
Face Detection (Q)
|
100% |
51093
607.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24592
189.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23569
181.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
65058
506.3 IPS |
|
|
Style Transfer (SP)
|
100% |
77330
99.4 IPS |
|
|
Style Transfer (HP)
|
100% |
77806
100.0 IPS |
|
|
Style Transfer (Q)
|
98% |
274101
353.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14122
521.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14224
525.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39200
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4722
6.30 KIPS |
|
|
Text Classification (Q)
|
92% |
5395
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
8357
144.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8189
141.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9170
158.0 IPS |