Google Pixel 8
Geekbench AI Score
1253
Single Precision Score
216
Half Precision Score
1516
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 09:06 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% |
884
164.3 IPS |
|
|
Image Classification (HP)
|
100% |
54
9.95 IPS |
|
|
Image Classification (Q)
|
100% |
1541
286.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1876
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2616
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
845
0.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
3922
4.65 IPS |
|
|
Object Detection (SP)
|
98% |
770
61.3 IPS |
|
|
Object Detection (HP)
|
100% |
63
4.96 IPS |
|
|
Object Detection (Q)
|
83% |
962
77.7 IPS |
|
|
Face Detection (SP)
|
100% |
1790
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.01 IPS |
|
|
Face Detection (Q)
|
95% |
2321
27.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1853
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
397
3.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
2420
22.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4995
6.48 IPS |
|
|
Style Transfer (HP)
|
90% |
1402
1.82 IPS |
|
|
Style Transfer (Q)
|
98% |
8005
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
126
4.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1654
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
364
485.4 IPS |
|
|
Text Classification (HP)
|
99% |
410
547.1 IPS |
|
|
Text Classification (Q)
|
88% |
372
501.7 IPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
34
0.58 IPS |
|
|
Machine Translation (Q)
|
50% |
213
7.58 IPS |
