Google Pixel 8a
Geekbench AI Score
323
Single Precision Score
4019
Half Precision Score
7167
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2025 01:32 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% |
233
43.4 IPS |
|
|
Image Classification (HP)
|
100% |
5701
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
7873
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
6485
105.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15850
257.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
357
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30406
35.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
62137
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
4657
369.4 IPS |
|
|
Object Detection (Q)
|
87% |
5203
417.4 IPS |
|
|
Face Detection (SP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (HP)
|
100% |
11647
138.4 IPS |
|
|
Face Detection (Q)
|
97% |
24788
295.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
384
2.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
30179
232.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
33147
305.1 IPS |
|
|
Style Transfer (SP)
|
100% |
591
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
585
0.75 IPS |
|
|
Style Transfer (Q)
|
72% |
2354
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8363
308.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13713
508.1 IPS |
|
|
Text Classification (SP)
|
100% |
316
421.9 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.6 IPS |
|
|
Text Classification (Q)
|
92% |
1292
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
415
7.14 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
57% |
259
6.32 IPS |
