Google Pixel 8 Pro
Geekbench AI Score
354
Single Precision Score
4152
Half Precision Score
7045
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 11:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
264
49.0 IPS |
|
|
Image Classification (HP)
|
100% |
5617
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
6294
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
7696
124.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15872
258.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
411
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
30947
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
63329
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
4667
370.2 IPS |
|
|
Object Detection (Q)
|
87% |
5242
420.5 IPS |
|
|
Face Detection (SP)
|
100% |
477
5.66 IPS |
|
|
Face Detection (HP)
|
100% |
12212
145.1 IPS |
|
|
Face Detection (Q)
|
97% |
25465
303.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
493
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
28912
222.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
35039
322.6 IPS |
|
|
Style Transfer (SP)
|
100% |
666
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
581
0.75 IPS |
|
|
Style Transfer (Q)
|
98% |
1580
2.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8832
326.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13945
516.7 IPS |
|
|
Text Classification (SP)
|
100% |
226
302.2 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.9 IPS |
|
|
Text Classification (Q)
|
92% |
1582
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (Q)
|
57% |
292
7.13 IPS |
