Google Pixel 7a
Geekbench AI Score
885
Single Precision Score
854
Half Precision Score
1504
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 02:34 AM |
| Views | 9 |
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% |
524
97.5 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.1 IPS |
|
|
Image Classification (Q)
|
100% |
1506
280.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1648
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2083
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1685
1.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
2324
2.76 IPS |
|
|
Object Detection (SP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
83% |
874
70.6 IPS |
|
|
Face Detection (SP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
2489
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1622
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1547
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2391
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2993
3.89 IPS |
|
|
Style Transfer (HP)
|
89% |
2937
3.81 IPS |
|
|
Style Transfer (Q)
|
98% |
6023
7.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
873
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1476
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
392
522.9 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.5 IPS |
|
|
Text Classification (Q)
|
88% |
633
853.8 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
351
12.4 IPS |
