Google Pixel 8
Geekbench AI Score
388
Single Precision Score
4492
Half Precision Score
8259
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 05:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 8 |
| Model ID | Google Pixel 8 |
| Motherboard | shiba |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
5957
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
7782
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
7311
118.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19204
312.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
30822
36.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
61953
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
4742
376.1 IPS |
|
|
Object Detection (Q)
|
87% |
5293
424.6 IPS |
|
|
Face Detection (SP)
|
100% |
568
6.74 IPS |
|
|
Face Detection (HP)
|
100% |
12620
150.0 IPS |
|
|
Face Detection (Q)
|
97% |
34298
408.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
489
3.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
30700
236.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
34450
317.1 IPS |
|
|
Style Transfer (SP)
|
100% |
763
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
764
0.98 IPS |
|
|
Style Transfer (Q)
|
73% |
3074
4.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8427
311.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15520
575.1 IPS |
|
|
Text Classification (SP)
|
100% |
376
502.4 IPS |
|
|
Text Classification (HP)
|
100% |
375
500.2 IPS |
|
|
Text Classification (Q)
|
92% |
1396
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
569
9.80 IPS |
|
|
Machine Translation (HP)
|
100% |
563
9.70 IPS |
|
|
Machine Translation (Q)
|
57% |
383
9.36 IPS |
