HP HP All-in-One 22-df0xxx
Geekbench AI Score
435
Single Precision Score
289
Half Precision Score
449
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | July 29 2025 05:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3250U |
| 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% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.2 IPS |
|
|
Image Classification (Q)
|
96% |
369
68.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
316
5.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
584
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
58% |
217
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
669
7.95 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
96% |
823
9.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
689
5.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
426
3.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
739
5.90 IPS |
|
|
Style Transfer (SP)
|
100% |
1362
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1153
1.48 IPS |
|
|
Style Transfer (Q)
|
87% |
1373
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
246
9.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
320
11.9 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.6 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.7 IPS |
|
|
Text Classification (Q)
|
97% |
178
238.6 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (HP)
|
100% |
223
3.85 IPS |
|
|
Machine Translation (Q)
|
68% |
483
9.33 IPS |
