Google Pixel 8a
Geekbench AI Score
891
Single Precision Score
1394
Half Precision Score
1019
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 07:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
419
78.0 IPS |
|
|
Image Classification (HP)
|
100% |
527
97.9 IPS |
|
|
Image Classification (Q)
|
97% |
364
67.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1841
29.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1614
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4958
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
11890
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11858
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (HP)
|
99% |
812
64.4 IPS |
|
|
Object Detection (Q)
|
83% |
564
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
2091
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
2437
29.0 IPS |
|
|
Face Detection (Q)
|
96% |
2294
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3270
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5517
42.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4279
40.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7491
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
19405
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18423
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1335
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1968
72.9 IPS |
|
|
Text Classification (SP)
|
35% |
14
130.6 IPS |
|
|
Text Classification (HP)
|
35% |
20
181.3 IPS |
|
|
Text Classification (Q)
|
32% |
13
165.2 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (Q)
|
43% |
67
3.90 IPS |
