Google Pixel 8a
Geekbench AI Score
528
Single Precision Score
631
Half Precision Score
620
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 11:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
358
66.6 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.3 IPS |
|
|
Image Classification (Q)
|
99% |
325
60.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
901
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
669
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (Q)
|
83% |
332
26.8 IPS |
|
|
Face Detection (SP)
|
100% |
1194
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
1179
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
898
6.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1121
8.64 IPS |
|
|
Depth Estimation (Q)
|
62% |
856
8.10 IPS |
|
|
Style Transfer (SP)
|
100% |
2471
3.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3211
4.13 IPS |
|
|
Style Transfer (Q)
|
98% |
3149
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
496
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
167
222.5 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.6 IPS |
|
|
Text Classification (Q)
|
91% |
249
334.5 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
57% |
333
8.14 IPS |
