Google Pixel 3a
Geekbench AI Score
103
Single Precision Score
166
Half Precision Score
159
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 13 2025 10:27 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 670 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 3a |
| Model ID | Google Pixel 3a |
| Motherboard | sargo |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
62
11.5 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.4 IPS |
|
|
Image Classification (Q)
|
97% |
111
20.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
83
1.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
152
2.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
117
0.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
185
0.22 IPS |
|
|
Pose Estimation (Q)
|
95% |
184
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
55
4.38 IPS |
|
|
Object Detection (HP)
|
100% |
90
7.11 IPS |
|
|
Object Detection (Q)
|
89% |
93
7.48 IPS |
|
|
Face Detection (SP)
|
100% |
148
1.76 IPS |
|
|
Face Detection (HP)
|
100% |
274
3.25 IPS |
|
|
Face Detection (Q)
|
97% |
289
3.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
146
1.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
267
2.06 IPS |
|
|
Depth Estimation (Q)
|
62% |
220
2.08 IPS |
|
|
Style Transfer (SP)
|
100% |
278
0.36 IPS |
|
|
Style Transfer (HP)
|
100% |
640
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
638
0.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72
2.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
131
4.84 IPS |
|
|
Text Classification (SP)
|
100% |
73
97.1 IPS |
|
|
Text Classification (HP)
|
100% |
73
96.8 IPS |
|
|
Text Classification (Q)
|
91% |
86
115.5 IPS |
|
|
Machine Translation (SP)
|
100% |
132
2.27 IPS |
|
|
Machine Translation (HP)
|
100% |
133
2.29 IPS |
|
|
Machine Translation (Q)
|
57% |
79
1.94 IPS |
