Google Pixel 7a
Geekbench AI Score
735
Single Precision Score
1068
Half Precision Score
827
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 03:32 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% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (Q)
|
97% |
295
55.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1413
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4548
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
9738
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9540
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
361
28.7 IPS |
|
|
Object Detection (HP)
|
99% |
444
35.2 IPS |
|
|
Object Detection (Q)
|
83% |
448
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
1791
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
2422
28.8 IPS |
|
|
Face Detection (Q)
|
96% |
2288
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2363
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3741
28.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
2732
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6511
8.37 IPS |
|
|
Style Transfer (HP)
|
100% |
15559
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16569
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1097
40.7 IPS |
|
|
Text Classification (SP)
|
35% |
13
116.1 IPS |
|
|
Text Classification (HP)
|
35% |
14
131.5 IPS |
|
|
Text Classification (Q)
|
32% |
10
131.3 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.29 IPS |
