Google Pixel 7a
Geekbench AI Score
219
Single Precision Score
2234
Half Precision Score
6909
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andriyfedorov |
| Upload Date | May 13 2025 08:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
142
26.4 IPS |
|
|
Image Classification (HP)
|
100% |
5529
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8350
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
5236
84.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9452
153.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
20917
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38029
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
126
9.98 IPS |
|
|
Object Detection (HP)
|
100% |
4665
370.1 IPS |
|
|
Object Detection (Q)
|
87% |
6563
526.5 IPS |
|
|
Face Detection (SP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (HP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (Q)
|
97% |
31593
376.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
22804
175.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
33806
311.2 IPS |
|
|
Style Transfer (SP)
|
100% |
474
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
475
0.61 IPS |
|
|
Style Transfer (Q)
|
57% |
1914
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5018
185.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11010
408.0 IPS |
|
|
Text Classification (SP)
|
100% |
192
256.3 IPS |
|
|
Text Classification (HP)
|
100% |
194
258.8 IPS |
|
|
Text Classification (Q)
|
92% |
2065
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (Q)
|
57% |
271
6.62 IPS |
