| User | f180n4cc1 |
| Upload Date | September 20 2025 09:32 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.44 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5451
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5458
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
14910
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7928
128.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7935
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21565
349.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16941
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16989
19.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
66794
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
6008
476.6 IPS |
|
|
Object Detection (HP)
|
100% |
6032
478.4 IPS |
|
|
Object Detection (Q)
|
88% |
15977
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
16997
202.0 IPS |
|
|
Face Detection (HP)
|
100% |
17047
202.6 IPS |
|
|
Face Detection (Q)
|
100% |
43400
515.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18541
142.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18591
143.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
49943
388.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42476
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
42526
54.7 IPS |
|
|
Style Transfer (Q)
|
98% |
155487
200.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8474
312.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8458
312.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25212
933.7 IPS |
|
|
Text Classification (SP)
|
100% |
4252
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4277
5.71 KIPS |
|
|
Text Classification (Q)
|
92% |
5328
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
7057
121.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7058
121.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8707
150.0 IPS |