Google Pixel 8a
Geekbench AI Score
357
Single Precision Score
4278
Half Precision Score
7589
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2025 01:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (HP)
|
100% |
5775
1.07 KIPS |
|
|
Image Classification (Q)
|
99% |
7667
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
9415
152.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14826
241.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
361
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
31333
36.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
61993
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
4596
364.5 IPS |
|
|
Object Detection (Q)
|
87% |
5272
422.9 IPS |
|
|
Face Detection (SP)
|
100% |
560
6.66 IPS |
|
|
Face Detection (HP)
|
100% |
13555
161.1 IPS |
|
|
Face Detection (Q)
|
97% |
25778
307.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
509
3.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
29138
224.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
34119
314.1 IPS |
|
|
Style Transfer (SP)
|
100% |
779
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
776
1.00 IPS |
|
|
Style Transfer (Q)
|
72% |
2811
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8570
316.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14922
552.9 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.5 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.2 IPS |
|
|
Text Classification (Q)
|
92% |
1345
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.95 IPS |
|
|
Machine Translation (Q)
|
57% |
344
8.41 IPS |
