Google Pixel 4a
Geekbench AI Score
170
Single Precision Score
261
Half Precision Score
264
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andybeals |
| Upload Date | March 30 2025 05:52 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 730G |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 5.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
97
17.9 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (Q)
|
97% |
159
29.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
127
2.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
227
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
273
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
271
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.86 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (Q)
|
89% |
136
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (HP)
|
100% |
403
4.79 IPS |
|
|
Face Detection (Q)
|
97% |
432
5.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
231
1.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
395
3.05 IPS |
|
|
Depth Estimation (Q)
|
62% |
326
3.09 IPS |
|
|
Style Transfer (SP)
|
100% |
446
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
976
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
970
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
7.23 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.3 IPS |
|
|
Text Classification (HP)
|
100% |
154
206.1 IPS |
|
|
Text Classification (Q)
|
91% |
260
349.9 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (Q)
|
57% |
185
4.52 IPS |
