Google Pixel 8a
Geekbench AI Score
926
Single Precision Score
1347
Half Precision Score
1042
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| 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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (Q)
|
97% |
427
79.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1712
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4959
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
11744
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11515
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.5 IPS |
|
|
Object Detection (HP)
|
99% |
626
49.6 IPS |
|
|
Object Detection (Q)
|
83% |
573
46.3 IPS |
|
|
Face Detection (SP)
|
100% |
2121
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (Q)
|
96% |
2378
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3314
25.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5571
43.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4419
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7614
9.79 IPS |
|
|
Style Transfer (HP)
|
100% |
19655
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18267
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2155
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2102
77.9 IPS |
|
|
Text Classification (SP)
|
35% |
15
132.6 IPS |
|
|
Text Classification (HP)
|
35% |
18
159.9 IPS |
|
|
Text Classification (Q)
|
32% |
12
157.7 IPS |
|
|
Machine Translation (SP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.79 IPS |
