Google Pixel 8a
Geekbench AI Score
585
Single Precision Score
700
Half Precision Score
619
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 02:25 AM |
| Views | 9 |
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% |
292
54.3 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.6 IPS |
|
|
Image Classification (Q)
|
99% |
248
46.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1004
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
928
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
669
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
664
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.0 IPS |
|
|
Object Detection (HP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (Q)
|
83% |
417
33.7 IPS |
|
|
Face Detection (SP)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1497
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
1337
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
909
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
1120
8.63 IPS |
|
|
Depth Estimation (Q)
|
62% |
901
8.52 IPS |
|
|
Style Transfer (SP)
|
100% |
2512
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3339
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3312
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
582
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
550
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.6 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.8 IPS |
|
|
Text Classification (Q)
|
91% |
248
333.7 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.88 IPS |
|
|
Machine Translation (Q)
|
57% |
239
5.85 IPS |
