Google Pixel 8 Pro
Geekbench AI Score
381
Single Precision Score
4166
Half Precision Score
7446
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ronitroyri |
| Upload Date | November 12 2025 07:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
271
50.4 IPS |
|
|
Image Classification (HP)
|
100% |
5763
1.07 KIPS |
|
|
Image Classification (Q)
|
99% |
6476
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
6234
101.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15400
250.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
427
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
31054
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
61999
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
4025
319.2 IPS |
|
|
Object Detection (Q)
|
87% |
5350
429.2 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.30 IPS |
|
|
Face Detection (HP)
|
100% |
12825
152.4 IPS |
|
|
Face Detection (Q)
|
97% |
25266
301.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
508
3.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
31219
240.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
34757
320.0 IPS |
|
|
Style Transfer (SP)
|
100% |
687
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
688
0.88 IPS |
|
|
Style Transfer (Q)
|
73% |
2499
3.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8947
330.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15766
584.2 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.9 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.3 IPS |
|
|
Text Classification (Q)
|
92% |
1431
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
519
8.94 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
