Google Pixel 8a
Geekbench AI Score
1093
Single Precision Score
1063
Half Precision Score
1587
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 21 2024 12:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
662
123.1 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.7 IPS |
|
|
Image Classification (Q)
|
100% |
1210
225.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1674
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2487
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2544
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1724
2.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
3376
4.00 IPS |
|
|
Object Detection (SP)
|
98% |
702
55.9 IPS |
|
|
Object Detection (HP)
|
98% |
709
56.4 IPS |
|
|
Object Detection (Q)
|
83% |
991
80.1 IPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (Q)
|
95% |
2296
27.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1538
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1487
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2397
22.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3958
5.14 IPS |
|
|
Style Transfer (HP)
|
89% |
3732
4.84 IPS |
|
|
Style Transfer (Q)
|
98% |
6695
8.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1683
62.4 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.9 IPS |
|
|
Text Classification (HP)
|
99% |
316
422.4 IPS |
|
|
Text Classification (Q)
|
88% |
519
699.4 IPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
314
11.1 IPS |
