Google Pixel 8a
Geekbench AI Score
658
Single Precision Score
760
Half Precision Score
702
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | June 04 2025 01:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
357
66.4 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (Q)
|
99% |
287
53.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1067
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1036
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
664
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (HP)
|
100% |
400
31.8 IPS |
|
|
Object Detection (Q)
|
83% |
428
34.6 IPS |
|
|
Face Detection (SP)
|
100% |
1472
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
1369
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
904
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
1113
8.57 IPS |
|
|
Depth Estimation (Q)
|
62% |
905
8.57 IPS |
|
|
Style Transfer (SP)
|
100% |
2533
3.26 IPS |
|
|
Style Transfer (HP)
|
100% |
3351
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3289
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
578
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
551
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
368
491.2 IPS |
|
|
Text Classification (HP)
|
100% |
374
498.7 IPS |
|
|
Text Classification (Q)
|
91% |
576
774.6 IPS |
|
|
Machine Translation (SP)
|
100% |
539
9.28 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (Q)
|
57% |
266
6.51 IPS |
