Google Pixel 8a
Geekbench AI Score
374
Single Precision Score
4121
Half Precision Score
5613
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:18 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
235
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
3473
645.9 IPS |
|
|
Image Classification (Q)
|
99% |
4665
870.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
6832
110.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16318
265.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
29675
34.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62657
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
226
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
4142
328.6 IPS |
|
|
Object Detection (Q)
|
87% |
4928
395.3 IPS |
|
|
Face Detection (SP)
|
100% |
553
6.58 IPS |
|
|
Face Detection (HP)
|
100% |
14777
175.6 IPS |
|
|
Face Detection (Q)
|
97% |
28714
342.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
480
3.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
29065
223.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
33178
305.4 IPS |
|
|
Style Transfer (SP)
|
100% |
754
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
744
0.96 IPS |
|
|
Style Transfer (Q)
|
27% |
188
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
236
8.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7813
288.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13254
491.1 IPS |
|
|
Text Classification (SP)
|
100% |
369
492.5 IPS |
|
|
Text Classification (HP)
|
100% |
371
494.7 IPS |
|
|
Text Classification (Q)
|
92% |
1534
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
57% |
363
8.86 IPS |
