Google Pixel 8a
Geekbench AI Score
1272
Single Precision Score
1117
Half Precision Score
1833
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2024 11:59 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
976
181.5 IPS |
|
|
Image Classification (HP)
|
100% |
1038
193.0 IPS |
|
|
Image Classification (Q)
|
100% |
2356
438.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2512
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1811
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2187
2.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
4580
5.43 IPS |
|
|
Object Detection (SP)
|
98% |
994
79.1 IPS |
|
|
Object Detection (HP)
|
98% |
535
42.6 IPS |
|
|
Object Detection (Q)
|
83% |
891
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
2265
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
1964
23.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2053
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1360
10.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3251
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4990
6.48 IPS |
|
|
Style Transfer (HP)
|
89% |
5066
6.58 IPS |
|
|
Style Transfer (Q)
|
98% |
9615
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
584
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1333
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
416
555.5 IPS |
|
|
Text Classification (HP)
|
99% |
453
604.5 IPS |
|
|
Text Classification (Q)
|
88% |
662
893.0 IPS |
|
|
Machine Translation (SP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (Q)
|
50% |
328
11.7 IPS |
