Google Pixel 7a
Geekbench AI Score
714
Single Precision Score
666
Half Precision Score
1170
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 07:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 7a |
| Model ID | Google Pixel 7a |
| Motherboard | lynx |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
477
88.8 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (Q)
|
100% |
1351
251.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
586
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
1469
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1850
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1310
1.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
1808
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
288
22.9 IPS |
|
|
Object Detection (Q)
|
83% |
698
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (Q)
|
95% |
1723
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1207
9.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
1106
8.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
1682
15.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2350
3.05 IPS |
|
|
Style Transfer (HP)
|
89% |
2145
2.78 IPS |
|
|
Style Transfer (Q)
|
98% |
4724
6.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
668
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
681
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1085
40.2 IPS |
|
|
Text Classification (SP)
|
100% |
307
409.5 IPS |
|
|
Text Classification (HP)
|
100% |
311
414.6 IPS |
|
|
Text Classification (Q)
|
88% |
486
656.0 IPS |
|
|
Machine Translation (SP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
50% |
266
9.45 IPS |
