Google Pixel 4a
Geekbench AI Score
161
Single Precision Score
247
Half Precision Score
248
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 03 2025 11:06 PM |
| Views | 2 |
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% |
97
18.0 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.2 IPS |
|
|
Image Classification (Q)
|
97% |
159
29.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
127
2.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
222
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
269
0.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
268
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.80 IPS |
|
|
Object Detection (HP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (Q)
|
89% |
136
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
225
2.67 IPS |
|
|
Face Detection (HP)
|
100% |
402
4.78 IPS |
|
|
Face Detection (Q)
|
97% |
424
5.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
231
1.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
396
3.06 IPS |
|
|
Depth Estimation (Q)
|
62% |
325
3.08 IPS |
|
|
Style Transfer (SP)
|
100% |
445
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
972
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
967
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
104
3.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
186
6.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
181
6.71 IPS |
|
|
Text Classification (SP)
|
100% |
122
162.6 IPS |
|
|
Text Classification (HP)
|
100% |
120
160.8 IPS |
|
|
Text Classification (Q)
|
91% |
197
264.9 IPS |
|
|
Machine Translation (SP)
|
100% |
209
3.61 IPS |
|
|
Machine Translation (HP)
|
100% |
212
3.66 IPS |
|
|
Machine Translation (Q)
|
57% |
148
3.62 IPS |
