HP HP Laptop 15-db0xxx
Geekbench AI Score
191
Single Precision Score
193
Half Precision Score
215
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Bxckam1422 |
| Upload Date | May 05 2025 01:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD A4-9125 RADEON R3, 4 COMPUTE CORES 2C+2G |
| 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 A4-9125 |
| Topology | 1 Processor, 2 Cores |
| Identifier | AuthenticAMD Family 21 Model 112 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.7 IPS |
|
|
Image Classification (Q)
|
100% |
133
24.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
139
2.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
137
2.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
151
2.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
195
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
188
0.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
249
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
92
7.33 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.59 IPS |
|
|
Object Detection (Q)
|
87% |
115
9.19 IPS |
|
|
Face Detection (SP)
|
100% |
254
3.02 IPS |
|
|
Face Detection (HP)
|
100% |
287
3.41 IPS |
|
|
Face Detection (Q)
|
97% |
329
3.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
268
2.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
291
2.24 IPS |
|
|
Depth Estimation (Q)
|
81% |
327
2.58 IPS |
|
|
Style Transfer (SP)
|
100% |
587
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
619
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
765
0.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
120
4.43 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
152
5.64 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.4 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.2 IPS |
|
|
Text Classification (Q)
|
91% |
110
147.9 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.90 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (Q)
|
100% |
270
4.65 IPS |
