Google Pixel 8
Geekbench AI Score
1519
Single Precision Score
1500
Half Precision Score
2278
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 19jet54 |
| Upload Date | February 06 2025 11:18 PM |
| Views | 5 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1469
273.3 IPS |
|
|
Image Classification (HP)
|
100% |
1500
279.0 IPS |
|
|
Image Classification (Q)
|
100% |
2421
450.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2505
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2703
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2541
2.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
5228
6.20 IPS |
|
|
Object Detection (SP)
|
98% |
1189
94.6 IPS |
|
|
Object Detection (HP)
|
98% |
1053
83.8 IPS |
|
|
Object Detection (Q)
|
83% |
1576
127.3 IPS |
|
|
Face Detection (SP)
|
100% |
2318
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2285
27.1 IPS |
|
|
Face Detection (Q)
|
95% |
3387
40.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1891
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2073
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3321
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4936
6.41 IPS |
|
|
Style Transfer (HP)
|
89% |
5025
6.52 IPS |
|
|
Style Transfer (Q)
|
98% |
9359
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1022
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2316
85.8 IPS |
|
|
Text Classification (SP)
|
100% |
433
578.1 IPS |
|
|
Text Classification (HP)
|
99% |
428
570.6 IPS |
|
|
Text Classification (Q)
|
88% |
708
955.3 IPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
438
15.5 IPS |
