Google Pixel 8a
Geekbench AI Score
629
Single Precision Score
728
Half Precision Score
706
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:19 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% |
363
67.5 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (Q)
|
97% |
345
64.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
952
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
667
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
661
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
92% |
315
25.1 IPS |
|
|
Face Detection (SP)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1382
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
1172
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
916
7.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1089
8.39 IPS |
|
|
Depth Estimation (Q)
|
72% |
1009
8.36 IPS |
|
|
Style Transfer (SP)
|
100% |
2524
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3315
4.26 IPS |
|
|
Style Transfer (Q)
|
98% |
3309
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
544
20.2 IPS |
|
|
Text Classification (SP)
|
100% |
365
487.6 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.0 IPS |
|
|
Text Classification (Q)
|
91% |
571
767.5 IPS |
|
|
Machine Translation (SP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.19 IPS |
|
|
Machine Translation (Q)
|
57% |
372
9.10 IPS |
