Google Pixel 8a
Geekbench AI Score
322
Single Precision Score
4085
Half Precision Score
7249
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2025 08:27 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% |
229
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
5426
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
5988
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
7420
120.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14826
241.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30383
35.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
63938
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
4522
358.7 IPS |
|
|
Object Detection (Q)
|
87% |
5300
425.2 IPS |
|
|
Face Detection (SP)
|
100% |
430
5.11 IPS |
|
|
Face Detection (HP)
|
100% |
15165
180.2 IPS |
|
|
Face Detection (Q)
|
97% |
26012
310.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
412
3.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
30577
235.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
35079
322.9 IPS |
|
|
Style Transfer (SP)
|
100% |
577
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
574
0.74 IPS |
|
|
Style Transfer (Q)
|
72% |
2520
3.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7708
284.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14883
551.5 IPS |
|
|
Text Classification (SP)
|
100% |
295
393.4 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.5 IPS |
|
|
Text Classification (Q)
|
92% |
1366
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.67 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.97 IPS |
