| User | Tuxpan |
| Upload Date | March 01 2025 11:43 PM |
| Views | 18 |
| 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 | Ausbalanciert |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4922
915.3 IPS |
|
|
Image Classification (HP)
|
100% |
4818
895.9 IPS |
|
|
Image Classification (Q)
|
100% |
10833
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7036
114.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6362
103.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16808
272.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14665
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14672
17.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
58705
68.7 IPS |
|
|
Object Detection (SP)
|
100% |
5389
427.4 IPS |
|
|
Object Detection (HP)
|
100% |
5194
412.0 IPS |
|
|
Object Detection (Q)
|
88% |
11986
960.8 IPS |
|
|
Face Detection (SP)
|
100% |
13597
161.6 IPS |
|
|
Face Detection (HP)
|
100% |
13846
164.5 IPS |
|
|
Face Detection (Q)
|
100% |
33051
392.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15059
116.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15994
123.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
41471
322.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39698
51.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39564
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
147752
190.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8119
299.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7976
294.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23211
859.6 IPS |
|
|
Text Classification (SP)
|
100% |
3796
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3748
5.00 KIPS |
|
|
Text Classification (Q)
|
92% |
4463
6.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4976
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4913
84.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5182
89.3 IPS |