Google Pixel 8 Pro
Geekbench AI Score
166
Single Precision Score
3046
Half Precision Score
5367
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 08:21 AM |
| Views | 4 |
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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
3088
574.3 IPS |
|
|
Image Classification (Q)
|
99% |
4168
777.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
7453
120.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13594
221.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
171
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
30644
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
60705
71.1 IPS |
|
|
Object Detection (SP)
|
100% |
104
8.23 IPS |
|
|
Object Detection (HP)
|
100% |
3632
288.1 IPS |
|
|
Object Detection (Q)
|
87% |
4427
355.1 IPS |
|
|
Face Detection (SP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (HP)
|
100% |
11017
130.9 IPS |
|
|
Face Detection (Q)
|
97% |
21287
253.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
200
1.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
27120
208.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
29441
271.0 IPS |
|
|
Style Transfer (SP)
|
100% |
329
0.42 IPS |
|
|
Style Transfer (HP)
|
100% |
322
0.41 IPS |
|
|
Style Transfer (Q)
|
73% |
1541
2.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
121
4.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8024
296.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12942
479.6 IPS |
|
|
Text Classification (SP)
|
100% |
165
219.9 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.6 IPS |
|
|
Text Classification (Q)
|
92% |
734
985.6 IPS |
|
|
Machine Translation (SP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (Q)
|
57% |
142
3.47 IPS |
