Google Pixel 7a
Geekbench AI Score
186
Single Precision Score
1928
Half Precision Score
6122
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 04:02 AM |
| Views | 12 |
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% |
144
26.8 IPS |
|
|
Image Classification (HP)
|
100% |
5577
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
8604
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
5402
87.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9386
152.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16597
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30412
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.51 IPS |
|
|
Object Detection (HP)
|
100% |
3884
308.1 IPS |
|
|
Object Detection (Q)
|
87% |
5646
452.9 IPS |
|
|
Face Detection (SP)
|
100% |
336
4.00 IPS |
|
|
Face Detection (HP)
|
100% |
337
4.01 IPS |
|
|
Face Detection (Q)
|
97% |
26047
310.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
262
2.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
18064
139.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
27397
252.2 IPS |
|
|
Style Transfer (SP)
|
100% |
406
0.52 IPS |
|
|
Style Transfer (HP)
|
100% |
349
0.45 IPS |
|
|
Style Transfer (Q)
|
58% |
1550
2.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11263
417.4 IPS |
|
|
Text Classification (SP)
|
100% |
102
136.0 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.6 IPS |
|
|
Text Classification (Q)
|
92% |
2040
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
57% |
210
5.13 IPS |
