Google Pixel 8a
Geekbench AI Score
257
Single Precision Score
3837
Half Precision Score
7265
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2025 10:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
103
19.2 IPS |
|
|
Image Classification (HP)
|
100% |
4553
846.8 IPS |
|
|
Image Classification (Q)
|
99% |
8057
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
6185
100.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18945
308.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
273
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
30546
35.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62397
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
4211
334.0 IPS |
|
|
Object Detection (Q)
|
87% |
5212
418.1 IPS |
|
|
Face Detection (SP)
|
100% |
406
4.82 IPS |
|
|
Face Detection (HP)
|
100% |
13216
157.0 IPS |
|
|
Face Detection (Q)
|
97% |
29358
350.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
362
2.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
28742
221.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
33651
309.8 IPS |
|
|
Style Transfer (SP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
578
0.74 IPS |
|
|
Style Transfer (Q)
|
72% |
1520
2.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7820
288.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15639
579.5 IPS |
|
|
Text Classification (SP)
|
100% |
295
394.0 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.4 IPS |
|
|
Text Classification (Q)
|
92% |
1326
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
57% |
265
6.49 IPS |
