Google Pixel 8a
Geekbench AI Score
1150
Single Precision Score
1020
Half Precision Score
1868
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2024 11:19 AM |
| Views | 10 |
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% |
958
178.2 IPS |
|
|
Image Classification (HP)
|
100% |
700
130.2 IPS |
|
|
Image Classification (Q)
|
100% |
2340
435.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
2648
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2879
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
3287
3.90 IPS |
|
|
Object Detection (SP)
|
98% |
1090
86.7 IPS |
|
|
Object Detection (HP)
|
98% |
1000
79.5 IPS |
|
|
Object Detection (Q)
|
83% |
1502
121.3 IPS |
|
|
Face Detection (SP)
|
100% |
2215
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2268
27.0 IPS |
|
|
Face Detection (Q)
|
95% |
1960
23.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1285
9.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
1214
9.38 IPS |
|
|
Depth Estimation (Q)
|
64% |
3430
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2801
3.64 IPS |
|
|
Style Transfer (HP)
|
89% |
2746
3.57 IPS |
|
|
Style Transfer (Q)
|
98% |
9668
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
592
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1240
45.9 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.8 IPS |
|
|
Text Classification (HP)
|
99% |
256
341.8 IPS |
|
|
Text Classification (Q)
|
88% |
448
604.7 IPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
469
16.7 IPS |
