Google Pixel 8a
Geekbench AI Score
536
Single Precision Score
663
Half Precision Score
611
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 01:38 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
372
69.1 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.7 IPS |
|
|
Image Classification (Q)
|
99% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
847
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
690
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
687
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (Q)
|
83% |
423
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
1221
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
1161
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
913
7.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
1101
8.49 IPS |
|
|
Depth Estimation (Q)
|
62% |
881
8.34 IPS |
|
|
Style Transfer (SP)
|
100% |
2518
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3265
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3244
4.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
500
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
525
19.5 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.6 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.0 IPS |
|
|
Text Classification (Q)
|
91% |
249
334.9 IPS |
|
|
Machine Translation (SP)
|
100% |
223
3.84 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (Q)
|
57% |
250
6.11 IPS |
