Google Pixel 8a
Geekbench AI Score
560
Single Precision Score
716
Half Precision Score
662
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 06 2025 08:31 PM |
| Views | 12 |
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% |
362
67.3 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.3 IPS |
|
|
Image Classification (Q)
|
99% |
283
52.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1059
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (Q)
|
83% |
429
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
1286
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
1299
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
904
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
1124
8.66 IPS |
|
|
Depth Estimation (Q)
|
62% |
895
8.47 IPS |
|
|
Style Transfer (SP)
|
100% |
2515
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3354
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3267
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
552
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.4 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.0 IPS |
|
|
Text Classification (Q)
|
91% |
249
335.2 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (Q)
|
57% |
365
8.93 IPS |
