Google Pixel 7a
Geekbench AI Score
901
Single Precision Score
892
Half Precision Score
1610
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | rittieyuta |
| Upload Date | November 03 2025 09:36 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% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
100% |
1429
265.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
1604
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1841
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1898
2.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
2565
3.04 IPS |
|
|
Object Detection (SP)
|
100% |
388
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
83% |
942
76.1 IPS |
|
|
Face Detection (SP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1236
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
2571
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1684
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1599
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2597
23.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3445
4.47 IPS |
|
|
Style Transfer (HP)
|
89% |
3150
4.09 IPS |
|
|
Style Transfer (Q)
|
98% |
6571
8.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
925
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1704
63.1 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.1 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.3 IPS |
|
|
Text Classification (Q)
|
88% |
742
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
381
13.5 IPS |
