Google Pixel 8
Geekbench AI Score
625
Single Precision Score
710
Half Precision Score
668
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | rgba |
| Upload Date | September 07 2024 08:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
356
66.1 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.1 IPS |
|
|
Image Classification (Q)
|
99% |
324
60.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
945
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
665
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
659
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (Q)
|
83% |
323
26.2 IPS |
|
|
Face Detection (SP)
|
100% |
1204
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
1136
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
908
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
1088
8.38 IPS |
|
|
Depth Estimation (Q)
|
62% |
878
8.31 IPS |
|
|
Style Transfer (SP)
|
100% |
2463
3.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3209
4.13 IPS |
|
|
Style Transfer (Q)
|
98% |
3201
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
510
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
370
494.2 IPS |
|
|
Text Classification (HP)
|
100% |
374
498.6 IPS |
|
|
Text Classification (Q)
|
91% |
570
766.6 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (Q)
|
57% |
295
7.21 IPS |
