Google Pixel 8a
Geekbench AI Score
299
Single Precision Score
3957
Half Precision Score
7514
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 02:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
5593
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
7033
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
8643
140.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15626
254.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
279
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
31315
36.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
63100
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
4408
349.7 IPS |
|
|
Object Detection (Q)
|
87% |
5944
476.8 IPS |
|
|
Face Detection (SP)
|
100% |
438
5.20 IPS |
|
|
Face Detection (HP)
|
100% |
12259
145.7 IPS |
|
|
Face Detection (Q)
|
97% |
27305
325.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
383
2.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
28741
221.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
36077
332.1 IPS |
|
|
Style Transfer (SP)
|
100% |
551
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
567
0.73 IPS |
|
|
Style Transfer (Q)
|
73% |
2886
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8173
301.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14242
527.7 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.1 IPS |
|
|
Text Classification (HP)
|
100% |
227
302.7 IPS |
|
|
Text Classification (Q)
|
92% |
1387
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (Q)
|
57% |
248
6.06 IPS |
