| User | Jgorell |
| Upload Date | July 04 2025 02:25 PM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 210 w/ Radeon 740M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 13 Plus PB13255 |
| Motherboard | Dell Inc. |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 210 w/ Radeon 740M Graphics |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 25 Model 124 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1479
275.1 IPS |
|
|
Image Classification (HP)
|
100% |
1475
274.4 IPS |
|
|
Image Classification (Q)
|
100% |
4661
866.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1197
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2546
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2784
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2693
3.14 IPS |
|
|
Pose Estimation (Q)
|
98% |
10973
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
100% |
1415
112.3 IPS |
|
|
Object Detection (Q)
|
88% |
4285
343.5 IPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (Q)
|
100% |
11011
130.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3789
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3785
29.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
11399
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7529
9.68 IPS |
|
|
Style Transfer (HP)
|
100% |
7520
9.67 IPS |
|
|
Style Transfer (Q)
|
98% |
28190
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4819
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1635
2.18 KIPS |
|
|
Text Classification (Q)
|
92% |
3518
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2215
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2255
38.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2916
50.2 IPS |