HP HP Laptop 15-db0xxx
Geekbench AI Score
240
Single Precision Score
244
Half Precision Score
272
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 06:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD A6-9225 RADEON R4, 5 COMPUTE CORES 2C+3G |
| 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% |
107
20.0 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.2 IPS |
|
|
Image Classification (Q)
|
100% |
145
27.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (Q)
|
99% |
148
2.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
262
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
259
0.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
323
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
87% |
172
13.8 IPS |
|
|
Face Detection (SP)
|
100% |
385
4.57 IPS |
|
|
Face Detection (HP)
|
100% |
383
4.55 IPS |
|
|
Face Detection (Q)
|
97% |
451
5.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
385
2.97 IPS |
|
|
Depth Estimation (Q)
|
81% |
432
3.41 IPS |
|
|
Style Transfer (SP)
|
100% |
807
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
812
1.04 IPS |
|
|
Style Transfer (Q)
|
98% |
974
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
174
6.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
176
6.49 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
208
7.72 IPS |
|
|
Text Classification (SP)
|
100% |
167
223.4 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.1 IPS |
|
|
Text Classification (Q)
|
91% |
136
182.5 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.09 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (Q)
|
100% |
348
5.99 IPS |
