Google Pixel 8a
Geekbench AI Score
367
Single Precision Score
4158
Half Precision Score
7133
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 02:50 PM |
| Views | 10 |
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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.1 IPS |
|
|
Image Classification (HP)
|
100% |
5832
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
7213
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
7652
124.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14279
232.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
368
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30425
35.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
61904
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
3909
310.1 IPS |
|
|
Object Detection (Q)
|
87% |
5298
425.0 IPS |
|
|
Face Detection (SP)
|
100% |
563
6.69 IPS |
|
|
Face Detection (HP)
|
100% |
11810
140.3 IPS |
|
|
Face Detection (Q)
|
97% |
25187
300.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
479
3.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
28078
216.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
31036
285.7 IPS |
|
|
Style Transfer (SP)
|
100% |
686
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
697
0.90 IPS |
|
|
Style Transfer (Q)
|
98% |
1797
2.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7800
288.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14077
521.6 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.2 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.6 IPS |
|
|
Text Classification (Q)
|
92% |
1563
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.69 IPS |
|
|
Machine Translation (Q)
|
57% |
327
8.00 IPS |
