Google Pixel 8 Pro
Geekbench AI Score
527
Single Precision Score
600
Half Precision Score
585
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | CME |
| Upload Date | August 15 2024 06:46 PM |
| Views | 2 |
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% |
349
64.9 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.2 IPS |
|
|
Image Classification (Q)
|
97% |
352
65.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
931
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
663
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
660
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
92% |
311
24.8 IPS |
|
|
Face Detection (SP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
1119
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
915
7.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1081
8.33 IPS |
|
|
Depth Estimation (Q)
|
72% |
1016
8.41 IPS |
|
|
Style Transfer (SP)
|
100% |
2510
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3248
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
3211
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
530
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
167
222.7 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.7 IPS |
|
|
Text Classification (Q)
|
91% |
250
335.6 IPS |
|
|
Machine Translation (SP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (Q)
|
57% |
145
3.55 IPS |
