Google Pixel 8a
Geekbench AI Score
336
Single Precision Score
4112
Half Precision Score
7245
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 08:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| 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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
234
43.6 IPS |
|
|
Image Classification (HP)
|
100% |
5679
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
7778
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
6685
108.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14440
234.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30723
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
61950
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
4500
357.0 IPS |
|
|
Object Detection (Q)
|
87% |
5366
430.4 IPS |
|
|
Face Detection (SP)
|
100% |
477
5.67 IPS |
|
|
Face Detection (HP)
|
100% |
11886
141.2 IPS |
|
|
Face Detection (Q)
|
97% |
25899
308.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
464
3.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
26126
201.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
38516
354.5 IPS |
|
|
Style Transfer (SP)
|
100% |
699
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
721
0.93 IPS |
|
|
Style Transfer (Q)
|
98% |
1549
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8070
298.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14179
525.4 IPS |
|
|
Text Classification (SP)
|
100% |
190
253.8 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.7 IPS |
|
|
Text Classification (Q)
|
92% |
1523
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
497
8.55 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.60 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
