| User | f180n4cc1 |
| Upload Date | December 16 2025 04:19 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5208
968.5 IPS |
|
|
Image Classification (HP)
|
100% |
5362
997.2 IPS |
|
|
Image Classification (Q)
|
100% |
13731
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7521
121.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7512
121.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20162
326.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15957
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15964
18.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
65504
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
5845
463.7 IPS |
|
|
Object Detection (HP)
|
100% |
5880
466.4 IPS |
|
|
Object Detection (Q)
|
88% |
14949
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
14197
168.7 IPS |
|
|
Face Detection (HP)
|
100% |
14095
167.5 IPS |
|
|
Face Detection (Q)
|
100% |
39163
465.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16755
129.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16196
124.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
45765
356.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42769
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42505
54.6 IPS |
|
|
Style Transfer (Q)
|
98% |
154828
199.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8830
326.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8658
319.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24257
898.3 IPS |
|
|
Text Classification (SP)
|
100% |
3827
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
92% |
4439
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5991
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6177
106.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6484
111.7 IPS |