Google Pixel 8a
Geekbench AI Score
355
Single Precision Score
4298
Half Precision Score
7940
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | September 07 2025 12:17 AM |
| Views | 10 |
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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
5752
1.07 KIPS |
|
|
Image Classification (Q)
|
99% |
7749
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
272
4.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
7352
119.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16135
262.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
30903
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
62010
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
4273
338.9 IPS |
|
|
Object Detection (Q)
|
87% |
6540
524.6 IPS |
|
|
Face Detection (SP)
|
100% |
530
6.29 IPS |
|
|
Face Detection (HP)
|
100% |
12797
152.1 IPS |
|
|
Face Detection (Q)
|
97% |
25440
303.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
456
3.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
28917
222.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
34276
315.5 IPS |
|
|
Style Transfer (SP)
|
100% |
701
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
719
0.92 IPS |
|
|
Style Transfer (Q)
|
73% |
2949
4.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
236
8.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8276
305.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14951
554.0 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.6 IPS |
|
|
Text Classification (HP)
|
100% |
349
465.5 IPS |
|
|
Text Classification (Q)
|
92% |
1482
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
57% |
345
8.42 IPS |
