Google Pixel 7a
Geekbench AI Score
205
Single Precision Score
2192
Half Precision Score
6901
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | SHUBHAMSARAF |
| Upload Date | September 29 2025 10:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
139
25.9 IPS |
|
|
Image Classification (HP)
|
100% |
5678
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
8444
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
5243
85.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9315
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
20826
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37995
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.69 IPS |
|
|
Object Detection (HP)
|
100% |
4663
369.9 IPS |
|
|
Object Detection (Q)
|
87% |
6548
525.3 IPS |
|
|
Face Detection (SP)
|
100% |
343
4.08 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
97% |
30783
367.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
264
2.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
21885
168.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
33169
305.3 IPS |
|
|
Style Transfer (SP)
|
100% |
456
0.59 IPS |
|
|
Style Transfer (HP)
|
100% |
466
0.60 IPS |
|
|
Style Transfer (Q)
|
58% |
1953
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
107
3.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5089
187.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11160
413.5 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.6 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.9 IPS |
|
|
Text Classification (Q)
|
92% |
2100
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (Q)
|
57% |
268
6.56 IPS |
