Google Pixel 8a
Geekbench AI Score
369
Single Precision Score
4234
Half Precision Score
7452
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 12:51 PM |
| Views | 3 |
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% |
256
47.5 IPS |
|
|
Image Classification (HP)
|
100% |
5507
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
7365
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
7483
121.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15027
244.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
383
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
31066
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
61591
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
4128
327.5 IPS |
|
|
Object Detection (Q)
|
87% |
5475
439.2 IPS |
|
|
Face Detection (SP)
|
100% |
568
6.75 IPS |
|
|
Face Detection (HP)
|
100% |
14747
175.2 IPS |
|
|
Face Detection (Q)
|
97% |
26185
312.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
509
3.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
28336
218.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
30769
283.2 IPS |
|
|
Style Transfer (SP)
|
100% |
771
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
569
0.73 IPS |
|
|
Style Transfer (Q)
|
73% |
2666
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8357
308.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14044
520.4 IPS |
|
|
Text Classification (SP)
|
100% |
338
451.6 IPS |
|
|
Text Classification (HP)
|
100% |
341
455.6 IPS |
|
|
Text Classification (Q)
|
92% |
1369
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (Q)
|
57% |
343
8.39 IPS |
