Google Pixel 8a
Geekbench AI Score
348
Single Precision Score
3962
Half Precision Score
6646
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 02:08 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
3955
735.5 IPS |
|
|
Image Classification (Q)
|
99% |
4698
876.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
8270
134.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17712
288.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30490
35.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
61021
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
3723
295.3 IPS |
|
|
Object Detection (Q)
|
87% |
4567
366.3 IPS |
|
|
Face Detection (SP)
|
100% |
545
6.47 IPS |
|
|
Face Detection (HP)
|
100% |
14593
173.4 IPS |
|
|
Face Detection (Q)
|
97% |
25538
304.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
465
3.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
28348
218.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
33625
309.5 IPS |
|
|
Style Transfer (SP)
|
100% |
568
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
566
0.73 IPS |
|
|
Style Transfer (Q)
|
72% |
2360
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7655
282.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13309
493.2 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.0 IPS |
|
|
Text Classification (HP)
|
100% |
316
421.7 IPS |
|
|
Text Classification (Q)
|
92% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.82 IPS |
