HP HP All-in-One 22-df0xxx
Geekbench AI Score
573
Single Precision Score
579
Half Precision Score
647
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | July 29 2025 06:03 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 3250U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP All-in-One 22-df0xxx |
| Motherboard | HP 86F3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3250U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
327
60.9 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
100% |
395
73.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
462
7.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
630
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
627
0.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
670
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (Q)
|
87% |
386
31.0 IPS |
|
|
Face Detection (SP)
|
100% |
767
9.11 IPS |
|
|
Face Detection (HP)
|
100% |
784
9.32 IPS |
|
|
Face Detection (Q)
|
97% |
1123
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
866
6.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
854
6.58 IPS |
|
|
Depth Estimation (Q)
|
81% |
945
7.45 IPS |
|
|
Style Transfer (SP)
|
100% |
1740
2.24 IPS |
|
|
Style Transfer (HP)
|
100% |
1766
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
2025
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
427
15.8 IPS |
|
|
Text Classification (SP)
|
100% |
499
665.8 IPS |
|
|
Text Classification (HP)
|
100% |
488
651.8 IPS |
|
|
Text Classification (Q)
|
91% |
405
544.1 IPS |
|
|
Machine Translation (SP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
100% |
739
12.7 IPS |
