Google Pixel 8a
Geekbench AI Score
353
Single Precision Score
4044
Half Precision Score
7509
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 28 2025 11:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
254
47.2 IPS |
|
|
Image Classification (HP)
|
100% |
5859
1.09 KIPS |
|
|
Image Classification (Q)
|
99% |
6952
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
6882
111.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14369
233.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
387
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
30697
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
62645
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
4350
345.1 IPS |
|
|
Object Detection (Q)
|
87% |
5438
436.2 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.64 IPS |
|
|
Face Detection (HP)
|
100% |
12184
144.8 IPS |
|
|
Face Detection (Q)
|
97% |
27748
330.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
475
3.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
28788
221.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
35229
324.3 IPS |
|
|
Style Transfer (SP)
|
100% |
718
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
605
0.78 IPS |
|
|
Style Transfer (Q)
|
72% |
2854
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
236
8.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7965
294.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13567
502.7 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.6 IPS |
|
|
Text Classification (HP)
|
100% |
320
426.6 IPS |
|
|
Text Classification (Q)
|
92% |
1388
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.80 IPS |
