HP HP Laptop 15-db0xxx
Geekbench AI Score
207
Single Precision Score
155
Half Precision Score
231
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 05:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A6-9225 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP HP Laptop 15-db0xxx |
| Motherboard | HP 84AC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD A6-9225 |
| Topology | 1 Processor, 2 Cores |
| Identifier | AuthenticAMD Family 21 Model 112 Stepping 0 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
127
23.7 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (Q)
|
96% |
173
32.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
82
1.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
108
1.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
136
2.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
319
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.89 IPS |
|
|
Object Detection (HP)
|
100% |
86
6.84 IPS |
|
|
Object Detection (Q)
|
58% |
121
13.2 IPS |
|
|
Face Detection (SP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (HP)
|
100% |
208
2.47 IPS |
|
|
Face Detection (Q)
|
96% |
387
4.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
391
3.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
239
1.84 IPS |
|
|
Depth Estimation (Q)
|
78% |
405
3.23 IPS |
|
|
Style Transfer (SP)
|
100% |
771
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (Q)
|
87% |
803
1.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
180
6.66 IPS |
|
|
Text Classification (SP)
|
100% |
131
174.6 IPS |
|
|
Text Classification (HP)
|
100% |
92
122.4 IPS |
|
|
Text Classification (Q)
|
97% |
86
115.5 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (HP)
|
100% |
111
1.91 IPS |
|
|
Machine Translation (Q)
|
68% |
254
4.90 IPS |
