Google Pixel 8 Pro
Geekbench AI Score
1924
Single Precision Score
1929
Half Precision Score
3274
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 11:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1202
223.5 IPS |
|
|
Image Classification (HP)
|
100% |
1240
230.7 IPS |
|
|
Image Classification (Q)
|
100% |
2481
461.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2644
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3261
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3044
3.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
7057
8.37 IPS |
|
|
Object Detection (SP)
|
98% |
1513
120.4 IPS |
|
|
Object Detection (HP)
|
98% |
1565
124.5 IPS |
|
|
Object Detection (Q)
|
83% |
2224
179.6 IPS |
|
|
Face Detection (SP)
|
100% |
2947
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (Q)
|
95% |
5532
66.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2998
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3177
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5637
51.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7392
9.60 IPS |
|
|
Style Transfer (HP)
|
89% |
7350
9.54 IPS |
|
|
Style Transfer (Q)
|
98% |
15077
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3903
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
696
928.5 IPS |
|
|
Text Classification (HP)
|
99% |
692
924.3 IPS |
|
|
Text Classification (Q)
|
88% |
1133
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1303
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1170
20.1 IPS |
|
|
Machine Translation (Q)
|
50% |
663
23.5 IPS |
