Google Pixel 7a
Geekbench AI Score
1025
Single Precision Score
1002
Half Precision Score
1835
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | SHUBHAMSARAF |
| Upload Date | September 29 2025 09:49 PM |
| Views | 10 |
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% |
488
90.7 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
100% |
1508
280.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1715
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2377
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2110
2.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
3086
3.66 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (Q)
|
83% |
1241
100.3 IPS |
|
|
Face Detection (SP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (Q)
|
95% |
3206
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1885
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1941
15.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3073
28.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3667
4.76 IPS |
|
|
Style Transfer (HP)
|
89% |
3676
4.77 IPS |
|
|
Style Transfer (Q)
|
98% |
7271
9.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1852
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
496
662.7 IPS |
|
|
Text Classification (HP)
|
100% |
497
663.6 IPS |
|
|
Text Classification (Q)
|
88% |
819
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
694
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
404
14.3 IPS |
