| User | PERISHABLE |
| Upload Date | November 11 2025 05:11 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X3D 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Nova WiFi |
| Motherboard | ASRock X870E Nova WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6393
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
5971
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
14937
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7296
118.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7763
125.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21339
345.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21321
24.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21462
25.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
86952
101.8 IPS |
|
|
Object Detection (SP)
|
100% |
6635
526.3 IPS |
|
|
Object Detection (HP)
|
100% |
6788
538.4 IPS |
|
|
Object Detection (Q)
|
88% |
17432
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
14269
169.5 IPS |
|
|
Face Detection (HP)
|
100% |
15420
183.2 IPS |
|
|
Face Detection (Q)
|
100% |
42282
502.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18127
139.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19459
149.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
49999
389.1 IPS |
|
|
Style Transfer (SP)
|
100% |
54692
70.3 IPS |
|
|
Style Transfer (HP)
|
100% |
56183
72.2 IPS |
|
|
Style Transfer (Q)
|
98% |
200792
258.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11191
413.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11195
413.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32479
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4331
5.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4147
5.54 KIPS |
|
|
Text Classification (Q)
|
92% |
5666
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
7313
126.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7102
122.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8798
151.6 IPS |