Google Pixel 8
Geekbench AI Score
381
Single Precision Score
4200
Half Precision Score
7043
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Minion |
| Upload Date | August 31 2025 02:27 AM |
| Views | 7 |
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% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
4277
795.5 IPS |
|
|
Image Classification (Q)
|
99% |
5832
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
275
4.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
7949
128.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14912
242.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
386
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
30806
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62480
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
4175
331.1 IPS |
|
|
Object Detection (Q)
|
87% |
4657
373.5 IPS |
|
|
Face Detection (SP)
|
100% |
588
6.98 IPS |
|
|
Face Detection (HP)
|
100% |
12102
143.8 IPS |
|
|
Face Detection (Q)
|
97% |
36598
436.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
511
3.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
27982
215.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
29267
269.4 IPS |
|
|
Style Transfer (SP)
|
100% |
776
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
767
0.99 IPS |
|
|
Style Transfer (Q)
|
72% |
2898
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8603
317.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13208
489.4 IPS |
|
|
Text Classification (SP)
|
100% |
336
448.7 IPS |
|
|
Text Classification (HP)
|
100% |
338
451.8 IPS |
|
|
Text Classification (Q)
|
92% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
523
9.02 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (Q)
|
57% |
354
8.65 IPS |
