Google Pixel 8a
Geekbench AI Score
364
Single Precision Score
3816
Half Precision Score
7376
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 09:31 AM |
| Views | 7 |
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% |
237
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
4929
916.7 IPS |
|
|
Image Classification (Q)
|
99% |
7710
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
6876
111.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15298
248.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30245
35.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
61854
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
3799
301.4 IPS |
|
|
Object Detection (Q)
|
87% |
5046
404.7 IPS |
|
|
Face Detection (SP)
|
100% |
555
6.59 IPS |
|
|
Face Detection (HP)
|
100% |
11887
141.2 IPS |
|
|
Face Detection (Q)
|
97% |
24623
293.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
484
3.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
27222
209.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
43275
398.3 IPS |
|
|
Style Transfer (SP)
|
100% |
687
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
687
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
1787
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
270
9.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7914
292.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13612
504.4 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.5 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.1 IPS |
|
|
Text Classification (Q)
|
92% |
1562
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.82 IPS |
