Google Pixel 8a
Geekbench AI Score
1445
Single Precision Score
1453
Half Precision Score
2164
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:43 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
1196
222.4 IPS |
|
|
Image Classification (Q)
|
99% |
2489
464.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2526
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2524
2.94 IPS |
|
|
Pose Estimation (HP)
|
92% |
4051
4.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
4566
5.35 IPS |
|
|
Object Detection (SP)
|
98% |
926
73.7 IPS |
|
|
Object Detection (HP)
|
97% |
671
53.4 IPS |
|
|
Object Detection (Q)
|
85% |
1446
116.5 IPS |
|
|
Face Detection (SP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2298
27.3 IPS |
|
|
Face Detection (Q)
|
97% |
2942
35.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1815
14.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2263
17.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2268
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4993
6.48 IPS |
|
|
Style Transfer (HP)
|
88% |
4781
6.21 IPS |
|
|
Style Transfer (Q)
|
98% |
9320
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1044
38.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1597
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2447
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.1 IPS |
|
|
Text Classification (HP)
|
100% |
281
374.6 IPS |
|
|
Text Classification (Q)
|
93% |
653
876.9 IPS |
|
|
Machine Translation (SP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (HP)
|
96% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
55% |
548
14.7 IPS |
