Google Pixel 8a
Geekbench AI Score
375
Single Precision Score
4113
Half Precision Score
5344
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2024 11:50 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% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
3536
657.6 IPS |
|
|
Image Classification (Q)
|
99% |
4549
848.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
7194
116.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14519
236.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30116
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
62897
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
4124
327.1 IPS |
|
|
Object Detection (Q)
|
87% |
4735
379.8 IPS |
|
|
Face Detection (SP)
|
100% |
558
6.63 IPS |
|
|
Face Detection (HP)
|
100% |
13566
161.2 IPS |
|
|
Face Detection (Q)
|
97% |
27816
331.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
489
3.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
30927
238.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
32422
298.5 IPS |
|
|
Style Transfer (SP)
|
100% |
736
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
746
0.96 IPS |
|
|
Style Transfer (Q)
|
27% |
198
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
265
9.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7893
291.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13833
512.6 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.6 IPS |
|
|
Text Classification (HP)
|
100% |
340
453.2 IPS |
|
|
Text Classification (Q)
|
92% |
1082
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.02 IPS |
|
|
Machine Translation (Q)
|
57% |
362
8.85 IPS |
