Google Pixel 8
Geekbench AI Score
392
Single Precision Score
4495
Half Precision Score
5938
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | RMK1987 |
| Upload Date | August 20 2024 07:54 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
260
48.4 IPS |
|
|
Image Classification (HP)
|
100% |
4125
767.2 IPS |
|
|
Image Classification (Q)
|
99% |
4675
871.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
9207
149.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19899
323.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
30925
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
61840
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
4424
350.9 IPS |
|
|
Object Detection (Q)
|
90% |
6012
480.6 IPS |
|
|
Face Detection (SP)
|
100% |
593
7.05 IPS |
|
|
Face Detection (HP)
|
100% |
16256
193.2 IPS |
|
|
Face Detection (Q)
|
97% |
27601
329.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
518
3.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
30382
234.1 IPS |
|
|
Depth Estimation (Q)
|
70% |
36802
310.0 IPS |
|
|
Style Transfer (SP)
|
100% |
787
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
784
1.01 IPS |
|
|
Style Transfer (Q)
|
27% |
201
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
258
9.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8730
322.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16036
594.2 IPS |
|
|
Text Classification (SP)
|
100% |
349
465.3 IPS |
|
|
Text Classification (HP)
|
100% |
368
491.7 IPS |
|
|
Text Classification (Q)
|
92% |
1337
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (HP)
|
100% |
522
8.99 IPS |
|
|
Machine Translation (Q)
|
57% |
360
8.80 IPS |
