Google Pixel 8a
Geekbench AI Score
591
Single Precision Score
680
Half Precision Score
624
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 02 2024 09:01 AM |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
365
67.8 IPS |
|
|
Image Classification (HP)
|
100% |
380
70.6 IPS |
|
|
Image Classification (Q)
|
99% |
316
59.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
939
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
690
0.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
686
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
83% |
397
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
1174
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1707
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
1173
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
900
6.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
1092
8.41 IPS |
|
|
Depth Estimation (Q)
|
62% |
883
8.36 IPS |
|
|
Style Transfer (SP)
|
100% |
2526
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3262
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
3249
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
518
19.2 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.0 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.2 IPS |
|
|
Text Classification (Q)
|
91% |
249
334.0 IPS |
|
|
Machine Translation (SP)
|
100% |
545
9.39 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (Q)
|
57% |
256
6.25 IPS |
