Google Pixel 8a
Geekbench AI Score
331
Single Precision Score
3447
Half Precision Score
5012
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 10:05 AM |
| Views | 15 |
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% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
3175
590.5 IPS |
|
|
Image Classification (Q)
|
99% |
4184
780.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
7814
126.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15416
250.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
334
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
24053
28.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
48074
56.3 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
3660
290.3 IPS |
|
|
Object Detection (Q)
|
90% |
6557
524.2 IPS |
|
|
Face Detection (SP)
|
100% |
482
5.72 IPS |
|
|
Face Detection (HP)
|
100% |
12805
152.2 IPS |
|
|
Face Detection (Q)
|
97% |
23805
283.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
464
3.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
24380
187.8 IPS |
|
|
Depth Estimation (Q)
|
70% |
30865
260.0 IPS |
|
|
Style Transfer (SP)
|
100% |
706
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
662
0.85 IPS |
|
|
Style Transfer (Q)
|
27% |
191
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6836
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13386
496.0 IPS |
|
|
Text Classification (SP)
|
100% |
167
223.1 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.7 IPS |
|
|
Text Classification (Q)
|
92% |
787
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.88 IPS |
|
|
Machine Translation (Q)
|
57% |
333
8.13 IPS |
