Google Pixel 8a
Geekbench AI Score
1040
Single Precision Score
902
Half Precision Score
1701
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 02 2024 08:52 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1246
231.7 IPS |
|
|
Image Classification (HP)
|
100% |
1417
263.4 IPS |
|
|
Image Classification (Q)
|
100% |
2151
399.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
574
9.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
2180
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2267
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1370
1.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
3149
3.74 IPS |
|
|
Object Detection (SP)
|
98% |
655
52.1 IPS |
|
|
Object Detection (HP)
|
98% |
481
38.3 IPS |
|
|
Object Detection (Q)
|
83% |
995
80.4 IPS |
|
|
Face Detection (SP)
|
100% |
1686
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
2361
28.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1535
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1209
9.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
2367
21.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2678
3.48 IPS |
|
|
Style Transfer (HP)
|
89% |
3385
4.39 IPS |
|
|
Style Transfer (Q)
|
98% |
6589
8.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
751
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1742
64.5 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.5 IPS |
|
|
Text Classification (HP)
|
99% |
302
403.5 IPS |
|
|
Text Classification (Q)
|
88% |
487
657.4 IPS |
|
|
Machine Translation (SP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
442
15.7 IPS |
