Google Pixel 8
Geekbench AI Score
1260
Single Precision Score
976
Half Precision Score
1715
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 07:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
881
163.8 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (Q)
|
100% |
2628
488.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
2717
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3068
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2935
3.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
4783
5.67 IPS |
|
|
Object Detection (SP)
|
98% |
1385
110.2 IPS |
|
|
Object Detection (HP)
|
98% |
906
72.1 IPS |
|
|
Object Detection (Q)
|
83% |
1078
87.1 IPS |
|
|
Face Detection (SP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
1346
16.0 IPS |
|
|
Face Detection (Q)
|
95% |
2430
29.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1453
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1391
10.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2347
21.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3319
4.31 IPS |
|
|
Style Transfer (HP)
|
89% |
3316
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
5159
6.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
710
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1310
48.5 IPS |
|
|
Text Classification (SP)
|
100% |
257
343.2 IPS |
|
|
Text Classification (HP)
|
99% |
265
353.7 IPS |
|
|
Text Classification (Q)
|
88% |
456
614.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
341
12.1 IPS |
