Google Pixel 8a
Geekbench AI Score
896
Single Precision Score
885
Half Precision Score
1363
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Nipoc |
| Upload Date | October 13 2024 07:56 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% |
1186
220.6 IPS |
|
|
Image Classification (HP)
|
100% |
1236
229.9 IPS |
|
|
Image Classification (Q)
|
100% |
1765
328.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
868
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1761
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1373
1.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
3397
4.03 IPS |
|
|
Object Detection (SP)
|
98% |
613
48.8 IPS |
|
|
Object Detection (HP)
|
98% |
693
55.1 IPS |
|
|
Object Detection (Q)
|
83% |
834
67.3 IPS |
|
|
Face Detection (SP)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (Q)
|
95% |
1786
21.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1129
8.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
1111
8.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
2276
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2642
3.43 IPS |
|
|
Style Transfer (HP)
|
89% |
3390
4.40 IPS |
|
|
Style Transfer (Q)
|
98% |
5705
7.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
654
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1636
60.6 IPS |
|
|
Text Classification (SP)
|
100% |
182
243.6 IPS |
|
|
Text Classification (HP)
|
99% |
242
323.4 IPS |
|
|
Text Classification (Q)
|
88% |
457
615.7 IPS |
|
|
Machine Translation (SP)
|
100% |
572
9.86 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
295
10.5 IPS |
