Google Pixel 8 Pro
Geekbench AI Score
902
Single Precision Score
1347
Half Precision Score
1093
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 01:02 AM |
| Views | 3 |
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% |
410
76.2 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
97% |
441
82.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1498
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4893
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
12334
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11890
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
99% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
83% |
581
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2512
29.8 IPS |
|
|
Face Detection (Q)
|
96% |
2365
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3275
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5556
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4432
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7534
9.69 IPS |
|
|
Style Transfer (HP)
|
100% |
19774
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18568
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2201
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1976
73.2 IPS |
|
|
Text Classification (SP)
|
35% |
16
141.6 IPS |
|
|
Text Classification (HP)
|
35% |
20
177.9 IPS |
|
|
Text Classification (Q)
|
32% |
15
192.3 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
43% |
93
5.40 IPS |
