| User | ViNsTeR777 |
| Upload Date | March 19 2026 10:40 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD PRO A10-9700 R7, 10 COMPUTE CORES 4C+6G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD PRO A10-9700 R7, 10 COMPUTE CORES 4C+6G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 21 Model 101 Stepping 1 |
| Base Frequency | 3.55 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
343
63.7 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.8 IPS |
|
|
Image Classification (Q)
|
100% |
482
89.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (Q)
|
99% |
465
7.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
600
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
603
0.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
962
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
87% |
485
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
984
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
983
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
1303
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1095
8.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
1092
8.42 IPS |
|
|
Depth Estimation (Q)
|
81% |
1224
9.65 IPS |
|
|
Style Transfer (SP)
|
100% |
2440
3.14 IPS |
|
|
Style Transfer (HP)
|
100% |
2452
3.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2804
3.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
594
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.7 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.2 IPS |
|
|
Text Classification (Q)
|
91% |
365
491.0 IPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
100% |
790
13.6 IPS |