Google Pixel 8a
Geekbench AI Score
885
Single Precision Score
1348
Half Precision Score
998
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 11:44 AM |
| Views | 6 |
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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
97% |
338
63.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1488
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4901
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
11901
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11467
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (HP)
|
99% |
617
49.0 IPS |
|
|
Object Detection (Q)
|
83% |
561
45.3 IPS |
|
|
Face Detection (SP)
|
100% |
2062
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
2460
29.2 IPS |
|
|
Face Detection (Q)
|
96% |
2379
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3275
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5535
42.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4342
41.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7561
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
19535
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19161
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1323
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2321
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1980
73.4 IPS |
|
|
Text Classification (SP)
|
35% |
14
131.5 IPS |
|
|
Text Classification (HP)
|
35% |
18
159.4 IPS |
|
|
Text Classification (Q)
|
32% |
12
154.6 IPS |
|
|
Machine Translation (SP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.76 IPS |
