Google Pixel 8a
Geekbench AI Score
654
Single Precision Score
765
Half Precision Score
748
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | March 21 2025 04:15 PM |
| Views | 14 |
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% |
351
65.3 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.8 IPS |
|
|
Image Classification (Q)
|
99% |
387
72.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1108
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
664
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
83% |
436
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
1420
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
1487
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
1366
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
910
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
1126
8.68 IPS |
|
|
Depth Estimation (Q)
|
62% |
910
8.61 IPS |
|
|
Style Transfer (SP)
|
100% |
2547
3.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3333
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3296
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
558
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
350
467.2 IPS |
|
|
Text Classification (HP)
|
100% |
352
469.9 IPS |
|
|
Text Classification (Q)
|
91% |
558
749.7 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.88 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
57% |
349
8.54 IPS |
