Google Pixel 8a
Geekbench AI Score
625
Single Precision Score
714
Half Precision Score
695
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 17 2024 11:05 AM |
| Views | 3 |
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% |
362
67.4 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.6 IPS |
|
|
Image Classification (Q)
|
99% |
335
62.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1013
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
666
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
660
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
83% |
330
26.7 IPS |
|
|
Face Detection (SP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
1169
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
908
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
1097
8.45 IPS |
|
|
Depth Estimation (Q)
|
62% |
882
8.35 IPS |
|
|
Style Transfer (SP)
|
100% |
2456
3.16 IPS |
|
|
Style Transfer (HP)
|
100% |
3226
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
3216
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
505
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
369
492.9 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.8 IPS |
|
|
Text Classification (Q)
|
91% |
571
767.1 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.24 IPS |
|
|
Machine Translation (Q)
|
57% |
376
9.20 IPS |
