Google Pixel 4a
Geekbench AI Score
184
Single Precision Score
257
Half Precision Score
875
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 03 2025 10:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
186
34.6 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.4 IPS |
|
|
Image Classification (Q)
|
97% |
639
119.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
149
2.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
4077
4.78 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
88
6.98 IPS |
|
|
Object Detection (Q)
|
85% |
610
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (HP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (Q)
|
97% |
1501
17.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
304
2.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
192
1.48 IPS |
|
|
Depth Estimation (Q)
|
63% |
2474
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
473
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
344
0.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2282
2.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1763
65.3 IPS |
|
|
Text Classification (SP)
|
71% |
4
5.70 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.9 IPS |
|
|
Text Classification (Q)
|
93% |
120
161.2 IPS |
|
|
Machine Translation (SP)
|
100% |
186
3.20 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (Q)
|
54% |
129
3.64 IPS |
