| Upload Date | December 03 2025 09:08 AM |
| Views | 2 |
| 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% |
9617
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
9676
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
21861
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10370
168.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10456
169.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26779
434.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18444
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18477
21.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
74017
86.7 IPS |
|
|
Object Detection (SP)
|
100% |
8871
703.6 IPS |
|
|
Object Detection (HP)
|
100% |
8903
706.2 IPS |
|
|
Object Detection (Q)
|
88% |
23792
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
20504
243.6 IPS |
|
|
Face Detection (HP)
|
100% |
20551
244.2 IPS |
|
|
Face Detection (Q)
|
100% |
59691
709.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21851
168.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21948
169.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
66153
514.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51900
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
51983
66.8 IPS |
|
|
Style Transfer (Q)
|
98% |
190716
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11707
432.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11682
431.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34556
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
7050
9.41 KIPS |
|
|
Text Classification (HP)
|
100% |
7025
9.38 KIPS |
|
|
Text Classification (Q)
|
92% |
9228
12.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
12536
215.9 IPS |
|
|
Machine Translation (HP)
|
100% |
12559
216.3 IPS |
|
|
Machine Translation (Q)
|
100% |
15352
264.4 IPS |