Google Pixel 4a
Geekbench AI Score
170
Single Precision Score
260
Half Precision Score
263
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | grinceur |
| Upload Date | February 11 2025 03:25 PM |
| Views | 7 |
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
17.9 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
97% |
164
30.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
127
2.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
220
3.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
271
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
269
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.80 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (Q)
|
89% |
135
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
221
2.62 IPS |
|
|
Face Detection (HP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (Q)
|
97% |
422
5.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
231
1.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
398
3.07 IPS |
|
|
Depth Estimation (Q)
|
62% |
326
3.09 IPS |
|
|
Style Transfer (SP)
|
100% |
446
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
979
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
971
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
114
4.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
197
7.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
195
7.21 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.4 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.7 IPS |
|
|
Text Classification (Q)
|
91% |
260
349.8 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.33 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
57% |
183
4.46 IPS |
