Google Pixel 8a
Geekbench AI Score
964
Single Precision Score
1359
Half Precision Score
1028
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
618
114.9 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (Q)
|
97% |
288
53.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1625
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4857
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
11980
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11697
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (HP)
|
99% |
630
50.0 IPS |
|
|
Object Detection (Q)
|
83% |
705
57.0 IPS |
|
|
Face Detection (SP)
|
100% |
2135
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (Q)
|
96% |
2322
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3269
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5614
43.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4324
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7498
9.64 IPS |
|
|
Style Transfer (HP)
|
100% |
19502
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18354
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2191
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2040
75.6 IPS |
|
|
Text Classification (SP)
|
35% |
16
141.6 IPS |
|
|
Text Classification (HP)
|
35% |
17
153.4 IPS |
|
|
Text Classification (Q)
|
32% |
14
180.6 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.76 IPS |
