| Upload Date | December 11 2025 05:54 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670-P WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4758
884.8 IPS |
|
|
Image Classification (HP)
|
100% |
4875
906.7 IPS |
|
|
Image Classification (Q)
|
100% |
13047
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6137
99.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5944
96.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15829
256.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12149
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12220
14.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
50304
58.9 IPS |
|
|
Object Detection (SP)
|
100% |
5180
410.9 IPS |
|
|
Object Detection (HP)
|
100% |
5406
428.8 IPS |
|
|
Object Detection (Q)
|
88% |
14032
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
12392
147.2 IPS |
|
|
Face Detection (HP)
|
100% |
12655
150.4 IPS |
|
|
Face Detection (Q)
|
100% |
34759
413.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12583
96.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12481
96.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
37331
290.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32902
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33160
42.6 IPS |
|
|
Style Transfer (Q)
|
98% |
117278
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7226
266.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7149
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21408
792.8 IPS |
|
|
Text Classification (SP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3774
5.04 KIPS |
|
|
Text Classification (Q)
|
92% |
4550
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5881
101.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6154
106.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7869
135.5 IPS |