Google Pixel 8
Geekbench AI Score
636
Single Precision Score
710
Half Precision Score
685
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 16 2024 09:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
395
73.4 IPS |
|
|
Image Classification (HP)
|
100% |
380
70.6 IPS |
|
|
Image Classification (Q)
|
97% |
286
53.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
915
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
666
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
662
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (Q)
|
92% |
277
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
1124
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
904
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
1081
8.33 IPS |
|
|
Depth Estimation (Q)
|
72% |
993
8.23 IPS |
|
|
Style Transfer (SP)
|
100% |
2513
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3284
4.22 IPS |
|
|
Style Transfer (Q)
|
98% |
3259
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
531
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
410
547.4 IPS |
|
|
Text Classification (HP)
|
100% |
400
533.6 IPS |
|
|
Text Classification (Q)
|
91% |
611
821.6 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.67 IPS |
|
|
Machine Translation (Q)
|
57% |
403
9.86 IPS |
