| Upload Date | November 26 2025 07:06 PM |
| 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% |
9285
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
9347
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
22091
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9738
157.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9857
159.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26061
422.5 IPS |
|
|
Pose Estimation (SP)
|
90% |
18171
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18431
21.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
73720
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
8743
693.5 IPS |
|
|
Object Detection (HP)
|
100% |
8732
692.6 IPS |
|
|
Object Detection (Q)
|
88% |
23689
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
20280
241.0 IPS |
|
|
Face Detection (HP)
|
100% |
20076
238.6 IPS |
|
|
Face Detection (Q)
|
100% |
59114
702.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21579
166.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21554
166.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
66310
516.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51459
66.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51688
66.4 IPS |
|
|
Style Transfer (Q)
|
98% |
187561
241.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11526
425.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11605
428.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34275
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
6892
9.20 KIPS |
|
|
Text Classification (HP)
|
100% |
6807
9.09 KIPS |
|
|
Text Classification (Q)
|
92% |
9075
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
12579
216.7 IPS |
|
|
Machine Translation (HP)
|
100% |
12447
214.4 IPS |
|
|
Machine Translation (Q)
|
100% |
14932
257.2 IPS |