Google Pixel 7a
Geekbench AI Score
682
Single Precision Score
1058
Half Precision Score
791
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 09:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
252
46.8 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.1 IPS |
|
|
Image Classification (Q)
|
97% |
248
46.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1339
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4337
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
9712
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9176
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (HP)
|
99% |
428
34.0 IPS |
|
|
Object Detection (Q)
|
83% |
430
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
2367
28.1 IPS |
|
|
Face Detection (Q)
|
96% |
2005
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2226
17.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3473
26.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2868
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6454
8.30 IPS |
|
|
Style Transfer (HP)
|
100% |
14928
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14648
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1085
40.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1310
48.5 IPS |
|
|
Text Classification (SP)
|
35% |
9
83.5 IPS |
|
|
Text Classification (HP)
|
35% |
15
134.7 IPS |
|
|
Text Classification (Q)
|
32% |
9
119.7 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.30 IPS |
