Google Pixel 8a
Geekbench AI Score
275
Single Precision Score
3945
Half Precision Score
7417
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 06 2025 08:42 PM |
| Views | 2 |
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% |
173
32.1 IPS |
|
|
Image Classification (HP)
|
100% |
5099
948.3 IPS |
|
|
Image Classification (Q)
|
99% |
6198
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
7974
129.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15982
259.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
278
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
30353
35.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
62855
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
4258
337.7 IPS |
|
|
Object Detection (Q)
|
87% |
5595
448.8 IPS |
|
|
Face Detection (SP)
|
100% |
406
4.82 IPS |
|
|
Face Detection (HP)
|
100% |
11960
142.1 IPS |
|
|
Face Detection (Q)
|
97% |
26574
316.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
403
3.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
28348
218.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
39723
365.7 IPS |
|
|
Style Transfer (SP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
622
0.80 IPS |
|
|
Style Transfer (Q)
|
73% |
2363
3.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7876
290.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15140
561.0 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.5 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.6 IPS |
|
|
Text Classification (Q)
|
92% |
1335
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.01 IPS |
