Google Pixel 8a
Geekbench AI Score
1046
Single Precision Score
1005
Half Precision Score
1772
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 09:45 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% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (Q)
|
100% |
2167
403.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
2247
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2582
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2054
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
3973
4.71 IPS |
|
|
Object Detection (SP)
|
98% |
487
38.8 IPS |
|
|
Object Detection (HP)
|
98% |
510
40.6 IPS |
|
|
Object Detection (Q)
|
87% |
1041
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
1595
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (Q)
|
95% |
1779
21.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1267
9.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
2038
15.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
3883
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5071
6.58 IPS |
|
|
Style Transfer (HP)
|
89% |
2706
3.51 IPS |
|
|
Style Transfer (Q)
|
98% |
7294
9.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
573
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
570
21.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1231
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.9 IPS |
|
|
Text Classification (HP)
|
99% |
241
321.9 IPS |
|
|
Text Classification (Q)
|
88% |
497
670.1 IPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
493
17.5 IPS |
