Google Pixel 8 Pro
Geekbench AI Score
638
Single Precision Score
729
Half Precision Score
667
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 05 2024 03:22 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% |
363
67.6 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.2 IPS |
|
|
Image Classification (Q)
|
97% |
248
46.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
892
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
664
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
660
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
288
22.8 IPS |
|
|
Object Detection (Q)
|
92% |
272
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
1179
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
1072
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
897
6.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
1099
8.47 IPS |
|
|
Depth Estimation (Q)
|
72% |
1009
8.35 IPS |
|
|
Style Transfer (SP)
|
100% |
2504
3.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3291
4.23 IPS |
|
|
Style Transfer (Q)
|
98% |
3165
4.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
440
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
516
19.1 IPS |
|
|
Text Classification (SP)
|
100% |
429
572.7 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.2 IPS |
|
|
Text Classification (Q)
|
91% |
624
839.2 IPS |
|
|
Machine Translation (SP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
401
9.81 IPS |
