Google Pixel 8a
Geekbench AI Score
243
Single Precision Score
3559
Half Precision Score
4671
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 26 2024 04:06 AM |
| Views | 4 |
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% |
103
19.1 IPS |
|
|
Image Classification (HP)
|
100% |
3994
742.8 IPS |
|
|
Image Classification (Q)
|
99% |
4422
824.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
7634
123.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13303
216.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
23885
27.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
47773
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
3581
284.0 IPS |
|
|
Object Detection (Q)
|
90% |
4483
358.4 IPS |
|
|
Face Detection (SP)
|
100% |
408
4.85 IPS |
|
|
Face Detection (HP)
|
100% |
11650
138.4 IPS |
|
|
Face Detection (Q)
|
97% |
27160
323.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
378
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
24242
186.8 IPS |
|
|
Depth Estimation (Q)
|
70% |
30495
256.9 IPS |
|
|
Style Transfer (SP)
|
100% |
577
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
578
0.74 IPS |
|
|
Style Transfer (Q)
|
27% |
158
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
122
4.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6791
250.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13575
503.0 IPS |
|
|
Text Classification (SP)
|
100% |
298
398.0 IPS |
|
|
Text Classification (HP)
|
100% |
293
390.9 IPS |
|
|
Text Classification (Q)
|
92% |
881
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
393
6.76 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (Q)
|
57% |
251
6.15 IPS |
