Google Pixel 8 Pro
Geekbench AI Score
378
Single Precision Score
4181
Half Precision Score
5481
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | holgr |
| Upload Date | August 15 2024 06:48 PM |
| Views | 4 |
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% |
246
45.7 IPS |
|
|
Image Classification (HP)
|
100% |
4075
757.8 IPS |
|
|
Image Classification (Q)
|
99% |
4560
850.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
7704
124.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16711
271.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
31499
36.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
61841
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
239
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
4086
324.1 IPS |
|
|
Object Detection (Q)
|
90% |
5733
458.3 IPS |
|
|
Face Detection (SP)
|
100% |
550
6.54 IPS |
|
|
Face Detection (HP)
|
100% |
13611
161.7 IPS |
|
|
Face Detection (Q)
|
97% |
26539
316.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
514
3.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
30110
232.0 IPS |
|
|
Depth Estimation (Q)
|
70% |
33843
285.1 IPS |
|
|
Style Transfer (SP)
|
100% |
717
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
721
0.93 IPS |
|
|
Style Transfer (Q)
|
27% |
193
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7951
293.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16654
617.1 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.7 IPS |
|
|
Text Classification (HP)
|
100% |
341
455.6 IPS |
|
|
Text Classification (Q)
|
92% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
57% |
343
8.37 IPS |
