Google Pixel 8
Geekbench AI Score
1019
Single Precision Score
1073
Half Precision Score
1499
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 07:55 AM |
| Views | 1 |
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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1245
231.5 IPS |
|
|
Image Classification (HP)
|
100% |
1313
244.1 IPS |
|
|
Image Classification (Q)
|
100% |
2248
418.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1007
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1944
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1506
1.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
2586
3.07 IPS |
|
|
Object Detection (SP)
|
98% |
484
38.5 IPS |
|
|
Object Detection (HP)
|
98% |
527
41.9 IPS |
|
|
Object Detection (Q)
|
83% |
816
65.9 IPS |
|
|
Face Detection (SP)
|
100% |
1285
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1005
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
2742
32.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1683
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1984
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2075
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4899
6.36 IPS |
|
|
Style Transfer (HP)
|
89% |
4373
5.68 IPS |
|
|
Style Transfer (Q)
|
98% |
4960
6.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
651
24.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1648
61.1 IPS |
|
|
Text Classification (SP)
|
100% |
261
349.0 IPS |
|
|
Text Classification (HP)
|
99% |
304
406.4 IPS |
|
|
Text Classification (Q)
|
88% |
628
846.8 IPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
411
14.6 IPS |
