Google Pixel 8a
Geekbench AI Score
298
Single Precision Score
3796
Half Precision Score
6974
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2025 07:42 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% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
4235
787.7 IPS |
|
|
Image Classification (Q)
|
99% |
5724
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
6923
112.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14283
232.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
261
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
30538
35.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62320
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
4417
350.4 IPS |
|
|
Object Detection (Q)
|
87% |
5250
421.1 IPS |
|
|
Face Detection (SP)
|
100% |
439
5.21 IPS |
|
|
Face Detection (HP)
|
100% |
12406
147.4 IPS |
|
|
Face Detection (Q)
|
97% |
26041
310.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
365
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
28633
220.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
34469
317.3 IPS |
|
|
Style Transfer (SP)
|
100% |
590
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (Q)
|
72% |
2334
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7785
287.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14919
552.8 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.2 IPS |
|
|
Text Classification (HP)
|
100% |
270
359.9 IPS |
|
|
Text Classification (Q)
|
92% |
1297
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
386
6.65 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
57% |
251
6.14 IPS |
