Google Pixel 8a
Geekbench AI Score
1113
Single Precision Score
1143
Half Precision Score
1869
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1027
191.1 IPS |
|
|
Image Classification (HP)
|
100% |
1492
277.5 IPS |
|
|
Image Classification (Q)
|
100% |
2565
477.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2695
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2580
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2287
2.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
4675
5.55 IPS |
|
|
Object Detection (SP)
|
98% |
592
47.1 IPS |
|
|
Object Detection (HP)
|
98% |
588
46.8 IPS |
|
|
Object Detection (Q)
|
87% |
871
69.9 IPS |
|
|
Face Detection (SP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (Q)
|
95% |
3404
40.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1286
9.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
1285
9.93 IPS |
|
|
Depth Estimation (Q)
|
75% |
2111
17.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5047
6.55 IPS |
|
|
Style Transfer (HP)
|
89% |
5063
6.57 IPS |
|
|
Style Transfer (Q)
|
98% |
9554
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
569
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1276
47.3 IPS |
|
|
Text Classification (SP)
|
100% |
244
326.0 IPS |
|
|
Text Classification (HP)
|
99% |
245
327.0 IPS |
|
|
Text Classification (Q)
|
88% |
439
591.7 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (Q)
|
50% |
483
17.1 IPS |
