Google Pixel 8a
Geekbench AI Score
353
Single Precision Score
3727
Half Precision Score
4746
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 10:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
3092
575.1 IPS |
|
|
Image Classification (Q)
|
99% |
4398
820.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
6580
106.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13468
219.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
361
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
23898
27.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
48230
56.5 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
3541
280.8 IPS |
|
|
Object Detection (Q)
|
87% |
5983
479.9 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.13 IPS |
|
|
Face Detection (HP)
|
100% |
12224
145.2 IPS |
|
|
Face Detection (Q)
|
97% |
24025
286.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
481
3.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
25632
197.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
27329
251.6 IPS |
|
|
Style Transfer (SP)
|
100% |
707
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
742
0.95 IPS |
|
|
Style Transfer (Q)
|
27% |
176
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6607
244.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11331
419.9 IPS |
|
|
Text Classification (SP)
|
100% |
372
496.0 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.6 IPS |
|
|
Text Classification (Q)
|
92% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
57% |
300
7.33 IPS |
