Google Pixel 8 Pro
Geekbench AI Score
896
Single Precision Score
1367
Half Precision Score
1017
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:12 PM |
| Views | 1 |
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% |
324
60.2 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
97% |
343
64.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1818
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4871
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
12029
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11616
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (HP)
|
99% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
83% |
563
45.5 IPS |
|
|
Face Detection (SP)
|
100% |
2278
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (Q)
|
96% |
2375
28.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3275
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5638
43.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4466
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7529
9.68 IPS |
|
|
Style Transfer (HP)
|
100% |
19678
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18506
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2159
79.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1985
73.5 IPS |
|
|
Text Classification (SP)
|
35% |
14
129.9 IPS |
|
|
Text Classification (HP)
|
35% |
20
186.0 IPS |
|
|
Text Classification (Q)
|
32% |
11
144.1 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (Q)
|
43% |
68
3.96 IPS |
