HP HP All-in-One 22-df0xxx
Geekbench AI Score
908
Single Precision Score
1215
Half Precision Score
691
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | July 29 2025 05:53 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 3 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% |
365
67.9 IPS |
|
|
Image Classification (HP)
|
100% |
441
81.9 IPS |
|
|
Image Classification (Q)
|
100% |
345
64.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
326
5.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
2890
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
5324
6.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
2476
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (Q)
|
88% |
376
30.2 IPS |
|
|
Face Detection (SP)
|
100% |
823
9.77 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
712
8.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
1837
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2781
21.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
1499
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5137
6.60 IPS |
|
|
Style Transfer (HP)
|
100% |
8317
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
4228
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1882
69.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
888
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
375
500.4 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.4 IPS |
|
|
Text Classification (Q)
|
97% |
218
292.4 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
70% |
273
5.13 IPS |
