Google Pixel 8 Pro
Geekbench AI Score
895
Single Precision Score
1380
Half Precision Score
997
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 07 2025 11:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
329
61.1 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (Q)
|
97% |
281
52.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1762
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4873
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
11855
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11641
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (HP)
|
99% |
821
65.2 IPS |
|
|
Object Detection (Q)
|
83% |
552
44.6 IPS |
|
|
Face Detection (SP)
|
100% |
2068
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (Q)
|
96% |
2337
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3300
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5497
42.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4358
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7438
9.56 IPS |
|
|
Style Transfer (HP)
|
100% |
19410
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19050
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2188
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1989
73.7 IPS |
|
|
Text Classification (SP)
|
35% |
16
149.1 IPS |
|
|
Text Classification (HP)
|
35% |
17
158.1 IPS |
|
|
Text Classification (Q)
|
32% |
12
156.8 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.84 IPS |
