Google Pixel 8 Pro
Geekbench AI Score
1109
Single Precision Score
1075
Half Precision Score
1574
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 04:00 PM |
| 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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
1520
282.7 IPS |
|
|
Image Classification (Q)
|
100% |
2535
471.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2372
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2252
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1447
1.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
2879
3.42 IPS |
|
|
Object Detection (SP)
|
98% |
622
49.5 IPS |
|
|
Object Detection (HP)
|
98% |
691
55.0 IPS |
|
|
Object Detection (Q)
|
83% |
972
78.6 IPS |
|
|
Face Detection (SP)
|
100% |
1635
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1620
19.2 IPS |
|
|
Face Detection (Q)
|
95% |
2401
28.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1566
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1558
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2262
20.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3602
4.68 IPS |
|
|
Style Transfer (HP)
|
89% |
3236
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
6066
7.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
615
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
650
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1439
53.3 IPS |
|
|
Text Classification (SP)
|
100% |
272
362.5 IPS |
|
|
Text Classification (HP)
|
99% |
268
357.8 IPS |
|
|
Text Classification (Q)
|
88% |
458
617.6 IPS |
|
|
Machine Translation (SP)
|
100% |
573
9.88 IPS |
|
|
Machine Translation (HP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
257
9.13 IPS |
