Google Pixel 8a
Geekbench AI Score
582
Single Precision Score
708
Half Precision Score
657
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2025 07:31 PM |
| Views | 2 |
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% |
237
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.3 IPS |
|
|
Image Classification (Q)
|
99% |
359
67.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
992
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
664
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
336
26.6 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
83% |
424
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
1295
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
909
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
1118
8.61 IPS |
|
|
Depth Estimation (Q)
|
62% |
902
8.54 IPS |
|
|
Style Transfer (SP)
|
100% |
2533
3.26 IPS |
|
|
Style Transfer (HP)
|
100% |
3348
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3270
4.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
583
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
550
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.8 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.8 IPS |
|
|
Text Classification (Q)
|
91% |
248
332.8 IPS |
|
|
Machine Translation (SP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
57% |
289
7.06 IPS |
