| User | firecall |
| Upload Date | August 05 2025 02:16 AM |
| Views | 4 |
| 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 | Gigabyte Technology Co., Ltd. X870 GAMING X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 GAMING X WIFI7 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8478
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
8518
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
17766
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8874
143.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8899
144.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20999
340.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17055
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17135
20.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
67124
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
8628
684.4 IPS |
|
|
Object Detection (HP)
|
100% |
8619
683.6 IPS |
|
|
Object Detection (Q)
|
88% |
20177
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
26415
313.9 IPS |
|
|
Face Detection (HP)
|
100% |
26682
317.0 IPS |
|
|
Face Detection (Q)
|
100% |
49268
585.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22735
175.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22884
176.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
58187
452.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48320
62.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48714
62.6 IPS |
|
|
Style Transfer (Q)
|
98% |
170602
220.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10629
392.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10693
394.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31321
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
6491
8.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6499
8.68 KIPS |
|
|
Text Classification (Q)
|
92% |
9101
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
9139
157.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9088
156.5 IPS |
|
|
Machine Translation (Q)
|
100% |
10429
179.6 IPS |