Google Pixel 7a
Geekbench AI Score
861
Single Precision Score
857
Half Precision Score
1455
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 10:52 AM |
| Views | 4 |
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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
520
96.8 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
100% |
1501
279.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1643
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2050
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1887
2.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
2003
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
83% |
922
74.5 IPS |
|
|
Face Detection (SP)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2485
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1541
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1519
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2137
19.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2967
3.85 IPS |
|
|
Style Transfer (HP)
|
89% |
2689
3.49 IPS |
|
|
Style Transfer (Q)
|
98% |
5683
7.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
879
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1457
54.0 IPS |
|
|
Text Classification (SP)
|
100% |
394
525.4 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.7 IPS |
|
|
Text Classification (Q)
|
88% |
649
875.3 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
328
11.6 IPS |
