Google Pixel 8a
Geekbench AI Score
324
Single Precision Score
3967
Half Precision Score
7494
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 10:13 PM |
| Views | 4 |
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
43.5 IPS |
|
|
Image Classification (HP)
|
100% |
5646
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
7829
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
7034
114.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15664
254.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
362
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30479
35.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62026
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
4150
329.2 IPS |
|
|
Object Detection (Q)
|
87% |
5508
441.8 IPS |
|
|
Face Detection (SP)
|
100% |
477
5.67 IPS |
|
|
Face Detection (HP)
|
100% |
12337
146.6 IPS |
|
|
Face Detection (Q)
|
97% |
22986
274.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
371
2.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
29394
226.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
34087
313.8 IPS |
|
|
Style Transfer (SP)
|
100% |
592
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
577
0.74 IPS |
|
|
Style Transfer (Q)
|
73% |
2406
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8953
330.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13805
511.5 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.9 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.5 IPS |
|
|
Text Classification (Q)
|
92% |
1780
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.88 IPS |
|
|
Machine Translation (Q)
|
57% |
288
7.05 IPS |
