Google Pixel 8 Pro
Geekbench AI Score
442
Single Precision Score
4203
Half Precision Score
7091
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 01:11 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% |
272
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
3149
585.7 IPS |
|
|
Image Classification (Q)
|
99% |
5814
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
8156
132.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13862
225.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
437
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
30592
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
62332
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
3874
307.3 IPS |
|
|
Object Detection (Q)
|
87% |
4853
389.3 IPS |
|
|
Face Detection (SP)
|
100% |
651
7.74 IPS |
|
|
Face Detection (HP)
|
100% |
12597
149.7 IPS |
|
|
Face Detection (Q)
|
97% |
25005
298.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
569
4.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
28050
216.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
29915
275.4 IPS |
|
|
Style Transfer (SP)
|
100% |
868
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
862
1.11 IPS |
|
|
Style Transfer (Q)
|
73% |
3356
4.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7495
276.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12582
466.2 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.3 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.7 IPS |
|
|
Text Classification (Q)
|
92% |
1154
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
57% |
362
8.84 IPS |
