| User | knuffish |
| Upload Date | November 05 2025 02:12 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. X870E GAMING PLUS WIFI (MS-7E70) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8911
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
8148
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
21153
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9952
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9757
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25720
416.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17765
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17785
20.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
71042
83.2 IPS |
|
|
Object Detection (SP)
|
100% |
9173
727.6 IPS |
|
|
Object Detection (HP)
|
100% |
9186
728.7 IPS |
|
|
Object Detection (Q)
|
88% |
22846
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
28070
333.5 IPS |
|
|
Face Detection (HP)
|
100% |
28199
335.1 IPS |
|
|
Face Detection (Q)
|
100% |
57793
686.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23780
183.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23810
183.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
63837
496.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51283
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51027
65.6 IPS |
|
|
Style Transfer (Q)
|
98% |
178397
230.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11206
413.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11217
414.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31840
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
6733
8.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6722
8.97 KIPS |
|
|
Text Classification (Q)
|
92% |
8983
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
12169
209.6 IPS |
|
|
Machine Translation (HP)
|
100% |
12230
210.7 IPS |
|
|
Machine Translation (Q)
|
100% |
14349
247.2 IPS |