Google Pixel 8a
Geekbench AI Score
386
Single Precision Score
3916
Half Precision Score
6960
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 11:51 AM |
| Views | 2 |
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% |
248
46.2 IPS |
|
|
Image Classification (HP)
|
100% |
3243
603.1 IPS |
|
|
Image Classification (Q)
|
99% |
5292
987.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
6907
112.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16293
264.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
30638
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
60763
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
3825
303.4 IPS |
|
|
Object Detection (Q)
|
87% |
4663
374.1 IPS |
|
|
Face Detection (SP)
|
100% |
572
6.80 IPS |
|
|
Face Detection (HP)
|
100% |
12686
150.7 IPS |
|
|
Face Detection (Q)
|
97% |
29395
350.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
513
3.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
27867
214.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
33049
304.2 IPS |
|
|
Style Transfer (SP)
|
100% |
780
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
608
0.78 IPS |
|
|
Style Transfer (Q)
|
73% |
2878
3.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7433
274.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13559
502.4 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.4 IPS |
|
|
Text Classification (HP)
|
100% |
377
503.7 IPS |
|
|
Text Classification (Q)
|
92% |
840
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (Q)
|
57% |
343
8.39 IPS |
