Google Pixel 8a
Geekbench AI Score
280
Single Precision Score
3875
Half Precision Score
7186
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 07 2025 08:37 PM |
| Views | 4 |
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% |
199
37.0 IPS |
|
|
Image Classification (HP)
|
100% |
4097
762.0 IPS |
|
|
Image Classification (Q)
|
99% |
6178
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
8135
131.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14111
229.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
272
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
30631
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
63160
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
4180
331.5 IPS |
|
|
Object Detection (Q)
|
87% |
5972
479.1 IPS |
|
|
Face Detection (SP)
|
100% |
428
5.09 IPS |
|
|
Face Detection (HP)
|
100% |
12029
142.9 IPS |
|
|
Face Detection (Q)
|
97% |
27388
326.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
358
2.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
28859
222.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
36996
340.6 IPS |
|
|
Style Transfer (SP)
|
100% |
562
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
561
0.72 IPS |
|
|
Style Transfer (Q)
|
73% |
2165
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
203
7.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8309
306.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14118
523.1 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.2 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.4 IPS |
|
|
Text Classification (Q)
|
92% |
1399
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.52 IPS |
|
|
Machine Translation (Q)
|
57% |
258
6.30 IPS |
