Google Pixel 8a
Geekbench AI Score
504
Single Precision Score
633
Half Precision Score
627
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 25 2024 11:38 AM |
| Views | 14 |
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% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (Q)
|
97% |
339
63.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
929
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
667
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
662
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
92% |
293
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1155
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
1100
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
913
7.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
1111
8.56 IPS |
|
|
Depth Estimation (Q)
|
72% |
1003
8.31 IPS |
|
|
Style Transfer (SP)
|
100% |
2515
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3309
4.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3192
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
465
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
533
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.5 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.6 IPS |
|
|
Text Classification (Q)
|
91% |
249
335.2 IPS |
|
|
Machine Translation (SP)
|
100% |
224
3.85 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (Q)
|
57% |
334
8.16 IPS |
