Google Pixel 8a
Geekbench AI Score
1302
Single Precision Score
1306
Half Precision Score
2036
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 21 2025 01:23 AM |
| Views | 2 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1219
226.7 IPS |
|
|
Image Classification (HP)
|
100% |
1292
240.3 IPS |
|
|
Image Classification (Q)
|
100% |
2433
452.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2352
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2486
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2134
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
4528
5.37 IPS |
|
|
Object Detection (SP)
|
98% |
899
71.6 IPS |
|
|
Object Detection (HP)
|
98% |
768
61.1 IPS |
|
|
Object Detection (Q)
|
83% |
1051
84.9 IPS |
|
|
Face Detection (SP)
|
100% |
1724
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (Q)
|
95% |
3357
40.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2105
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2095
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3397
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5026
6.52 IPS |
|
|
Style Transfer (HP)
|
89% |
5003
6.49 IPS |
|
|
Style Transfer (Q)
|
98% |
9457
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
889
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
765
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1734
64.2 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.2 IPS |
|
|
Text Classification (HP)
|
99% |
349
466.3 IPS |
|
|
Text Classification (Q)
|
88% |
511
688.9 IPS |
|
|
Machine Translation (SP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
50% |
472
16.7 IPS |
