Google Pixel 8 Pro
Geekbench AI Score
600
Single Precision Score
677
Half Precision Score
632
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | crisss1205 |
| Upload Date | August 15 2024 10:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
373
69.3 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.7 IPS |
|
|
Image Classification (Q)
|
97% |
315
58.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
936
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
686
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (Q)
|
92% |
340
27.1 IPS |
|
|
Face Detection (SP)
|
100% |
1318
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
1229
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
908
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
1105
8.51 IPS |
|
|
Depth Estimation (Q)
|
72% |
1022
8.46 IPS |
|
|
Style Transfer (SP)
|
100% |
2580
3.32 IPS |
|
|
Style Transfer (HP)
|
100% |
3333
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3333
4.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
486
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
544
20.2 IPS |
|
|
Text Classification (SP)
|
100% |
167
222.8 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.9 IPS |
|
|
Text Classification (Q)
|
91% |
252
338.7 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
57% |
259
6.34 IPS |
