| User | ridelisle |
| Upload Date | January 09 2026 02:54 PM |
| Views | 9 |
| Notes | Windows 11 power mode set to "Best Performance" |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 8 G1a 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8E17 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3153
586.4 IPS |
|
|
Image Classification (HP)
|
100% |
3098
576.2 IPS |
|
|
Image Classification (Q)
|
100% |
8988
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3532
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9660
156.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5596
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5446
6.35 IPS |
|
|
Pose Estimation (Q)
|
98% |
23272
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
2817
223.4 IPS |
|
|
Object Detection (HP)
|
100% |
2887
229.0 IPS |
|
|
Object Detection (Q)
|
88% |
9422
755.3 IPS |
|
|
Face Detection (SP)
|
100% |
6781
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
6921
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
21935
260.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7698
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5594
43.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
21014
163.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15834
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15808
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
62937
81.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3432
126.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3573
132.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12460
461.4 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (Q)
|
92% |
5360
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4622
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4591
79.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6431
110.8 IPS |