Google Pixel 8
Geekbench AI Score
381
Single Precision Score
4237
Half Precision Score
5300
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | feranick |
| Upload Date | November 08 2024 01:31 AM |
| Views | 3 |
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% |
271
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
3778
702.6 IPS |
|
|
Image Classification (Q)
|
99% |
4662
869.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
8703
141.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15926
259.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
368
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
31018
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
61780
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
4364
346.2 IPS |
|
|
Object Detection (Q)
|
87% |
4935
395.8 IPS |
|
|
Face Detection (SP)
|
100% |
575
6.84 IPS |
|
|
Face Detection (HP)
|
100% |
14942
177.5 IPS |
|
|
Face Detection (Q)
|
97% |
28633
341.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
510
3.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
30806
237.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
32597
300.1 IPS |
|
|
Style Transfer (SP)
|
100% |
795
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
790
1.02 IPS |
|
|
Style Transfer (Q)
|
27% |
205
4.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7945
293.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13332
494.0 IPS |
|
|
Text Classification (SP)
|
100% |
299
399.6 IPS |
|
|
Text Classification (HP)
|
100% |
259
345.4 IPS |
|
|
Text Classification (Q)
|
92% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.67 IPS |
|
|
Machine Translation (Q)
|
57% |
383
9.36 IPS |
