Google Pixel 8a
Geekbench AI Score
334
Single Precision Score
3963
Half Precision Score
6903
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 08 2026 07:25 AM |
| 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% |
236
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
5703
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
7340
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
7476
121.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15882
258.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30421
35.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
62448
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
4029
319.6 IPS |
|
|
Object Detection (Q)
|
87% |
5498
441.1 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (HP)
|
100% |
12137
144.2 IPS |
|
|
Face Detection (Q)
|
97% |
22845
272.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
415
3.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
27908
215.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
34454
317.2 IPS |
|
|
Style Transfer (SP)
|
100% |
582
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
578
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1572
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7824
288.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13581
503.3 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.8 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.7 IPS |
|
|
Text Classification (Q)
|
92% |
1374
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (Q)
|
57% |
266
6.50 IPS |
