Google Pixel 8
Geekbench AI Score
1292
Single Precision Score
213
Half Precision Score
1391
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 22 2024 08:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1166
216.8 IPS |
|
|
Image Classification (HP)
|
100% |
53
9.87 IPS |
|
|
Image Classification (Q)
|
100% |
1536
285.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
1783
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2559
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
778
0.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
3759
4.46 IPS |
|
|
Object Detection (SP)
|
98% |
765
60.9 IPS |
|
|
Object Detection (HP)
|
100% |
63
5.01 IPS |
|
|
Object Detection (Q)
|
83% |
953
77.0 IPS |
|
|
Face Detection (SP)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
339
4.03 IPS |
|
|
Face Detection (Q)
|
95% |
2188
26.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1912
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
399
3.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
2101
19.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4942
6.42 IPS |
|
|
Style Transfer (HP)
|
90% |
1412
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
7865
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
123
4.53 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1101
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
335
446.7 IPS |
|
|
Text Classification (HP)
|
99% |
399
533.1 IPS |
|
|
Text Classification (Q)
|
88% |
370
498.5 IPS |
|
|
Machine Translation (SP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
34
0.58 IPS |
|
|
Machine Translation (Q)
|
50% |
188
6.68 IPS |
