| Upload Date | September 02 2025 09:25 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 230 w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 6 G1a 14 inch Notebook AI PC |
| Motherboard | HP 8DFB |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 230 w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2702
502.5 IPS |
|
|
Image Classification (HP)
|
100% |
2720
505.9 IPS |
|
|
Image Classification (Q)
|
100% |
8287
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2602
42.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7924
128.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5041
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
5077
5.92 IPS |
|
|
Pose Estimation (Q)
|
98% |
20702
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
2472
196.0 IPS |
|
|
Object Detection (Q)
|
88% |
8175
655.3 IPS |
|
|
Face Detection (SP)
|
100% |
5359
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
5402
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
19498
231.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5922
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6327
48.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
19859
154.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14052
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14391
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
54807
70.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3131
115.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3102
114.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11015
407.9 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2780
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
5180
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4255
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4418
76.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6294
108.4 IPS |