Google Pixel 8 Pro
Geekbench AI Score
634
Single Precision Score
745
Half Precision Score
702
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Celeria |
| Upload Date | August 18 2024 11:20 PM |
| Views | 5 |
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% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (Q)
|
97% |
320
59.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1011
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
959
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
661
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
657
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
92% |
288
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
1199
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
897
6.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
1113
8.57 IPS |
|
|
Depth Estimation (Q)
|
72% |
1001
8.28 IPS |
|
|
Style Transfer (SP)
|
100% |
2501
3.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3195
4.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3250
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
521
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
427
569.4 IPS |
|
|
Text Classification (HP)
|
100% |
430
573.8 IPS |
|
|
Text Classification (Q)
|
91% |
627
843.3 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
398
9.73 IPS |
