HP HP All-in-One Desktop 22-dg0xxx
Geekbench AI Score
178
Single Precision Score
178
Half Precision Score
361
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 27 2025 03:51 PM |
| Views | 30 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Celeron(R) J4025 CPU @ 2.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP All-in-One Desktop 22-dg0xxx |
| Motherboard | HP 8C44 |
| Power Plan | CPU Lab - Battery Testing |
| CPU Information | |
|---|---|
| Name | Intel Celeron J4025 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 8 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.4 IPS |
|
|
Image Classification (Q)
|
100% |
233
43.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
134
2.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (Q)
|
99% |
280
4.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
201
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
201
0.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
482
0.57 IPS |
|
|
Object Detection (SP)
|
100% |
105
8.34 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.37 IPS |
|
|
Object Detection (Q)
|
87% |
236
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
97% |
644
7.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
278
2.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
276
2.13 IPS |
|
|
Depth Estimation (Q)
|
81% |
599
4.73 IPS |
|
|
Style Transfer (SP)
|
100% |
460
0.59 IPS |
|
|
Style Transfer (HP)
|
100% |
468
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
1454
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.63 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
299
11.1 IPS |
|
|
Text Classification (SP)
|
100% |
119
159.3 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.3 IPS |
|
|
Text Classification (Q)
|
91% |
192
258.0 IPS |
|
|
Machine Translation (SP)
|
100% |
161
2.77 IPS |
|
|
Machine Translation (HP)
|
100% |
160
2.75 IPS |
|
|
Machine Translation (Q)
|
100% |
159
2.74 IPS |
