Google Pixel 8a
Geekbench AI Score
181
Single Precision Score
3336
Half Precision Score
6800
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 02:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (HP)
|
100% |
4347
808.5 IPS |
|
|
Image Classification (Q)
|
99% |
6681
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
134
2.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
6318
102.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14473
235.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
178
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
31004
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
61981
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.13 IPS |
|
|
Object Detection (HP)
|
100% |
4528
359.1 IPS |
|
|
Object Detection (Q)
|
87% |
7350
589.6 IPS |
|
|
Face Detection (SP)
|
100% |
256
3.05 IPS |
|
|
Face Detection (HP)
|
100% |
12102
143.8 IPS |
|
|
Face Detection (Q)
|
97% |
23332
278.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
231
1.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
29012
223.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
34179
314.6 IPS |
|
|
Style Transfer (SP)
|
100% |
346
0.44 IPS |
|
|
Style Transfer (HP)
|
100% |
338
0.44 IPS |
|
|
Style Transfer (Q)
|
72% |
1666
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8370
309.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13771
510.3 IPS |
|
|
Text Classification (SP)
|
100% |
182
242.9 IPS |
|
|
Text Classification (HP)
|
100% |
183
244.5 IPS |
|
|
Text Classification (Q)
|
92% |
1332
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (Q)
|
57% |
197
4.81 IPS |
