Google Pixel 8 Pro
Geekbench AI Score
649
Single Precision Score
733
Half Precision Score
695
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | gxhfmsq78 |
| Upload Date | August 29 2024 11:07 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 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| 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 | 11.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
97% |
355
66.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
973
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1012
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
664
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
658
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (Q)
|
92% |
284
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
1223
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1311
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
1141
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
891
6.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
1081
8.33 IPS |
|
|
Depth Estimation (Q)
|
72% |
1011
8.37 IPS |
|
|
Style Transfer (SP)
|
100% |
2527
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3289
4.23 IPS |
|
|
Style Transfer (Q)
|
98% |
3293
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
532
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
393
524.9 IPS |
|
|
Text Classification (HP)
|
100% |
397
530.4 IPS |
|
|
Text Classification (Q)
|
91% |
607
816.5 IPS |
|
|
Machine Translation (SP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
