Google Pixel 8
Geekbench AI Score
306
Single Precision Score
3653
Half Precision Score
4423
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 12:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8 |
| Model ID | Google Pixel 8 |
| Motherboard | shiba |
| 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% |
231
42.9 IPS |
|
|
Image Classification (HP)
|
100% |
3152
586.1 IPS |
|
|
Image Classification (Q)
|
99% |
4051
755.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
6399
103.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15042
244.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
310
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
24082
28.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
47741
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
3571
283.3 IPS |
|
|
Object Detection (Q)
|
87% |
4302
345.1 IPS |
|
|
Face Detection (SP)
|
100% |
403
4.79 IPS |
|
|
Face Detection (HP)
|
100% |
16079
191.1 IPS |
|
|
Face Detection (Q)
|
97% |
24491
292.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
362
2.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
24378
187.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
26419
243.2 IPS |
|
|
Style Transfer (SP)
|
100% |
446
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
728
0.94 IPS |
|
|
Style Transfer (Q)
|
27% |
155
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6447
238.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11281
418.0 IPS |
|
|
Text Classification (SP)
|
100% |
349
465.3 IPS |
|
|
Text Classification (HP)
|
100% |
349
465.3 IPS |
|
|
Text Classification (Q)
|
92% |
739
992.2 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
57% |
274
6.69 IPS |
