Google Pixel 4a
Geekbench AI Score
171
Single Precision Score
262
Half Precision Score
263
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | guinea7pig |
| Upload Date | May 20 2025 06:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 730G |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google Pixel 4a |
| Model ID | Google Pixel 4a |
| Motherboard | sunfish |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.8 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.3 IPS |
|
|
Image Classification (Q)
|
97% |
159
29.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
127
2.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
221
3.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
267
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.90 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
89% |
138
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
230
2.74 IPS |
|
|
Face Detection (HP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (Q)
|
97% |
437
5.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
230
1.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
397
3.07 IPS |
|
|
Depth Estimation (Q)
|
62% |
326
3.08 IPS |
|
|
Style Transfer (SP)
|
100% |
447
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
968
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
961
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
114
4.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
195
7.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
193
7.14 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.1 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.8 IPS |
|
|
Text Classification (Q)
|
91% |
259
348.0 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (Q)
|
57% |
183
4.48 IPS |
