Google Pixel 4a
Geekbench AI Score
183
Single Precision Score
273
Half Precision Score
854
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | grinceur |
| Upload Date | February 11 2025 03:41 PM |
| Views | 8 |
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% |
180
33.4 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.1 IPS |
|
|
Image Classification (Q)
|
97% |
560
104.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
668
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1106
1.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
4102
4.80 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.69 IPS |
|
|
Object Detection (Q)
|
85% |
617
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
409
4.86 IPS |
|
|
Face Detection (HP)
|
100% |
269
3.19 IPS |
|
|
Face Detection (Q)
|
97% |
1476
17.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
229
1.76 IPS |
|
|
Depth Estimation (Q)
|
63% |
2440
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
496
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
377
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
2288
2.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1734
64.2 IPS |
|
|
Text Classification (SP)
|
71% |
4
5.59 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.7 IPS |
|
|
Text Classification (Q)
|
93% |
118
158.8 IPS |
|
|
Machine Translation (SP)
|
100% |
188
3.25 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
54% |
130
3.66 IPS |
