Google Pixel 8a
Geekbench AI Score
895
Single Precision Score
1343
Half Precision Score
991
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 01:32 AM |
| Views | 17 |
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% |
326
60.7 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
97% |
294
54.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1759
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4917
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
11967
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11751
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (HP)
|
99% |
608
48.2 IPS |
|
|
Object Detection (Q)
|
83% |
562
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (Q)
|
96% |
2332
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3289
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5509
42.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4365
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7509
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
19412
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18454
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1724
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2214
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2028
75.2 IPS |
|
|
Text Classification (SP)
|
35% |
16
142.5 IPS |
|
|
Text Classification (HP)
|
35% |
20
182.2 IPS |
|
|
Text Classification (Q)
|
32% |
11
144.2 IPS |
|
|
Machine Translation (SP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.72 IPS |
