Google Pixel 8a
Geekbench AI Score
309
Single Precision Score
4005
Half Precision Score
7667
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:17 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
233
43.4 IPS |
|
|
Image Classification (HP)
|
100% |
5556
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
7970
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
7742
125.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15696
255.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
360
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30507
35.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62495
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
4699
372.8 IPS |
|
|
Object Detection (Q)
|
87% |
5631
451.7 IPS |
|
|
Face Detection (SP)
|
100% |
430
5.11 IPS |
|
|
Face Detection (HP)
|
100% |
11584
137.6 IPS |
|
|
Face Detection (Q)
|
97% |
26024
310.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
420
3.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
28019
215.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
37975
349.6 IPS |
|
|
Style Transfer (SP)
|
100% |
624
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
583
0.75 IPS |
|
|
Style Transfer (Q)
|
72% |
2925
4.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
213
7.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8087
298.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14099
522.4 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.2 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.9 IPS |
|
|
Text Classification (Q)
|
92% |
1499
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
57% |
261
6.37 IPS |
