Google Pixel 8 Pro
Geekbench AI Score
392
Single Precision Score
4799
Half Precision Score
6484
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:48 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
5153
958.3 IPS |
|
|
Image Classification (Q)
|
99% |
6136
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
8763
142.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22491
365.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
389
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
30710
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
64288
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
5633
446.8 IPS |
|
|
Object Detection (Q)
|
90% |
7088
566.7 IPS |
|
|
Face Detection (SP)
|
100% |
564
6.70 IPS |
|
|
Face Detection (HP)
|
100% |
19095
226.9 IPS |
|
|
Face Detection (Q)
|
97% |
38953
464.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
502
3.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
36019
277.5 IPS |
|
|
Depth Estimation (Q)
|
70% |
44944
378.6 IPS |
|
|
Style Transfer (SP)
|
100% |
774
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
773
0.99 IPS |
|
|
Style Transfer (Q)
|
27% |
204
4.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7797
287.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14077
521.6 IPS |
|
|
Text Classification (SP)
|
100% |
376
501.7 IPS |
|
|
Text Classification (HP)
|
100% |
376
501.9 IPS |
|
|
Text Classification (Q)
|
92% |
1086
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (Q)
|
57% |
383
9.35 IPS |
