Google Pixel 8
Geekbench AI Score
382
Single Precision Score
4161
Half Precision Score
5392
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 07:02 AM |
| 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% |
255
47.5 IPS |
|
|
Image Classification (HP)
|
100% |
3192
593.6 IPS |
|
|
Image Classification (Q)
|
99% |
4230
788.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
271
4.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
7364
119.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15084
245.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30594
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
62165
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
4032
319.8 IPS |
|
|
Object Detection (Q)
|
87% |
5196
416.8 IPS |
|
|
Face Detection (SP)
|
100% |
580
6.89 IPS |
|
|
Face Detection (HP)
|
100% |
15233
181.0 IPS |
|
|
Face Detection (Q)
|
97% |
29888
356.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
510
3.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
30684
236.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
38738
356.6 IPS |
|
|
Style Transfer (SP)
|
100% |
770
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
787
1.01 IPS |
|
|
Style Transfer (Q)
|
27% |
204
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7885
291.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13276
492.0 IPS |
|
|
Text Classification (SP)
|
100% |
351
467.9 IPS |
|
|
Text Classification (HP)
|
100% |
353
471.4 IPS |
|
|
Text Classification (Q)
|
92% |
896
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
527
9.07 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (Q)
|
57% |
359
8.78 IPS |
