| Upload Date | November 29 2025 12:58 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock B650M-HDV/M.2 |
| Motherboard | ASRock B650M-HDV/M.2 |
| Power Plan | AMD Ryzen [Zen4] Ultimate HighPower 11-v5 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9341
1.74 KIPS |
|
|
Image Classification (HP)
|
100% |
9433
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
22233
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9949
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9953
161.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26188
424.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18548
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18658
21.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
74510
87.2 IPS |
|
|
Object Detection (SP)
|
100% |
8813
699.1 IPS |
|
|
Object Detection (HP)
|
100% |
8810
698.8 IPS |
|
|
Object Detection (Q)
|
88% |
23934
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
20023
237.9 IPS |
|
|
Face Detection (HP)
|
100% |
20056
238.3 IPS |
|
|
Face Detection (Q)
|
100% |
59246
704.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21711
167.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21709
167.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
66977
521.2 IPS |
|
|
Style Transfer (SP)
|
100% |
51969
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52464
67.4 IPS |
|
|
Style Transfer (Q)
|
98% |
189377
244.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11666
430.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11721
432.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34537
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
6959
9.29 KIPS |
|
|
Text Classification (HP)
|
100% |
6969
9.30 KIPS |
|
|
Text Classification (Q)
|
92% |
9177
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
12615
217.3 IPS |
|
|
Machine Translation (HP)
|
100% |
12420
213.9 IPS |
|
|
Machine Translation (Q)
|
100% |
15422
265.7 IPS |