HP HP All-in-One 22-df0xxx
Geekbench AI Score
326
Single Precision Score
322
Half Precision Score
281
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | masterclimby |
| Upload Date | October 26 2025 01:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 3 3250U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| Model | HP HP All-in-One 22-df0xxx |
| Motherboard | HP 86F3 |
| 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 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 5.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (Q)
|
99% |
192
35.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
211
3.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
305
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
305
0.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
382
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
85% |
162
13.1 IPS |
|
|
Face Detection (SP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (HP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (Q)
|
97% |
435
5.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
406
3.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
409
3.15 IPS |
|
|
Depth Estimation (Q)
|
63% |
329
3.09 IPS |
|
|
Style Transfer (SP)
|
100% |
546
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
537
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
858
1.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
227
8.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
225
8.30 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
249
9.24 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.7 IPS |
|
|
Text Classification (HP)
|
100% |
319
426.1 IPS |
|
|
Text Classification (Q)
|
92% |
203
272.8 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (Q)
|
58% |
199
4.68 IPS |
