Google Pixel 8a
Geekbench AI Score
580
Single Precision Score
669
Half Precision Score
634
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 09:56 AM |
| Views | 12 |
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% |
361
67.1 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.8 IPS |
|
|
Image Classification (Q)
|
97% |
338
63.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
926
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
667
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
663
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (Q)
|
92% |
323
25.8 IPS |
|
|
Face Detection (SP)
|
100% |
1194
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1286
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
1181
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
902
6.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
1096
8.45 IPS |
|
|
Depth Estimation (Q)
|
72% |
1028
8.51 IPS |
|
|
Style Transfer (SP)
|
100% |
2518
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3321
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3299
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
520
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.8 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.5 IPS |
|
|
Text Classification (Q)
|
91% |
250
335.8 IPS |
|
|
Machine Translation (SP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (Q)
|
57% |
301
7.36 IPS |
