Google Pixel 8a
Geekbench AI Score
316
Single Precision Score
3818
Half Precision Score
7426
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 06:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
234
43.4 IPS |
|
|
Image Classification (HP)
|
100% |
5556
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
7118
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
7248
117.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15804
257.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
356
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30332
35.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
61703
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
4128
327.4 IPS |
|
|
Object Detection (Q)
|
87% |
5543
444.7 IPS |
|
|
Face Detection (SP)
|
100% |
430
5.11 IPS |
|
|
Face Detection (HP)
|
100% |
11470
136.3 IPS |
|
|
Face Detection (Q)
|
97% |
25629
305.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
399
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
27860
214.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
34699
319.4 IPS |
|
|
Style Transfer (SP)
|
100% |
629
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
575
0.74 IPS |
|
|
Style Transfer (Q)
|
72% |
2685
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
209
7.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8230
303.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13935
516.4 IPS |
|
|
Text Classification (SP)
|
100% |
222
296.1 IPS |
|
|
Text Classification (HP)
|
100% |
216
288.6 IPS |
|
|
Text Classification (Q)
|
92% |
1369
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
412
7.10 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
57% |
291
7.12 IPS |
