Google Pixel 7a
Geekbench AI Score
230
Single Precision Score
2371
Half Precision Score
7312
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jasin55 |
| Upload Date | July 31 2025 09:52 PM |
| Views | 15 |
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% |
145
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
5666
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
8729
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
5610
90.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9556
155.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
235
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
20943
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38160
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
4802
380.9 IPS |
|
|
Object Detection (Q)
|
87% |
6746
541.1 IPS |
|
|
Face Detection (SP)
|
100% |
377
4.48 IPS |
|
|
Face Detection (HP)
|
100% |
377
4.49 IPS |
|
|
Face Detection (Q)
|
97% |
31364
374.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
296
2.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
22856
176.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
33783
311.0 IPS |
|
|
Style Transfer (SP)
|
100% |
504
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
504
0.65 IPS |
|
|
Style Transfer (Q)
|
58% |
2046
3.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6256
231.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13676
506.8 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.2 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.7 IPS |
|
|
Text Classification (Q)
|
92% |
2505
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (Q)
|
57% |
274
6.70 IPS |
