Google Pixel 8 Pro
Geekbench AI Score
895
Single Precision Score
1384
Half Precision Score
1045
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | blakjak |
| Upload Date | September 01 2025 02:08 AM |
| Views | 2 |
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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
647
120.3 IPS |
|
|
Image Classification (Q)
|
97% |
341
63.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1618
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4903
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
12192
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11822
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (HP)
|
99% |
510
40.4 IPS |
|
|
Object Detection (Q)
|
83% |
786
63.5 IPS |
|
|
Face Detection (SP)
|
100% |
2010
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (Q)
|
96% |
2320
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3263
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5490
42.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4466
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7407
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
19348
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18436
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2108
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1980
73.4 IPS |
|
|
Text Classification (SP)
|
35% |
14
125.5 IPS |
|
|
Text Classification (HP)
|
35% |
20
177.8 IPS |
|
|
Text Classification (Q)
|
32% |
12
157.3 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
43% |
67
3.88 IPS |
