Google Pixel 8a
Geekbench AI Score
368
Single Precision Score
4045
Half Precision Score
5159
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 30 2024 11:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
242
45.1 IPS |
|
|
Image Classification (HP)
|
100% |
3530
656.5 IPS |
|
|
Image Classification (Q)
|
99% |
5029
938.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
7803
126.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16021
260.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30192
35.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
62527
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
4053
321.5 IPS |
|
|
Object Detection (Q)
|
87% |
5713
458.3 IPS |
|
|
Face Detection (SP)
|
100% |
549
6.52 IPS |
|
|
Face Detection (HP)
|
100% |
15003
178.3 IPS |
|
|
Face Detection (Q)
|
97% |
27250
324.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
477
3.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
31525
242.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
31861
293.3 IPS |
|
|
Style Transfer (SP)
|
100% |
690
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (Q)
|
27% |
188
3.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6560
242.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10956
406.0 IPS |
|
|
Text Classification (SP)
|
100% |
316
422.3 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.6 IPS |
|
|
Text Classification (Q)
|
92% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.69 IPS |
|
|
Machine Translation (Q)
|
57% |
332
8.11 IPS |
