Google Pixel 8 Pro
Geekbench AI Score
618
Single Precision Score
749
Half Precision Score
716
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | holgr |
| Upload Date | August 15 2024 06:40 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% |
242
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
97% |
361
67.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
929
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
664
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
661
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (Q)
|
92% |
324
25.8 IPS |
|
|
Face Detection (SP)
|
100% |
1196
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
1157
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
916
7.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
1084
8.36 IPS |
|
|
Depth Estimation (Q)
|
72% |
1008
8.35 IPS |
|
|
Style Transfer (SP)
|
100% |
2499
3.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3270
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3258
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
503
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
412
549.6 IPS |
|
|
Text Classification (HP)
|
100% |
427
570.5 IPS |
|
|
Text Classification (Q)
|
91% |
625
840.4 IPS |
|
|
Machine Translation (SP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
415
10.1 IPS |
