Google Pixel 8
Geekbench AI Score
1594
Single Precision Score
1601
Half Precision Score
2313
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Kazenosensei |
| Upload Date | August 30 2025 05:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1303
242.2 IPS |
|
|
Image Classification (HP)
|
100% |
1429
265.8 IPS |
|
|
Image Classification (Q)
|
100% |
2339
435.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2789
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2849
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
6319
7.49 IPS |
|
|
Object Detection (SP)
|
98% |
1191
94.8 IPS |
|
|
Object Detection (HP)
|
98% |
1151
91.6 IPS |
|
|
Object Detection (Q)
|
83% |
1658
133.9 IPS |
|
|
Face Detection (SP)
|
100% |
2582
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
2580
30.7 IPS |
|
|
Face Detection (Q)
|
95% |
4400
52.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2291
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2193
16.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3257
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5351
6.95 IPS |
|
|
Style Transfer (HP)
|
89% |
5062
6.57 IPS |
|
|
Style Transfer (Q)
|
98% |
9494
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2371
87.9 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.6 IPS |
|
|
Text Classification (HP)
|
99% |
451
602.6 IPS |
|
|
Text Classification (Q)
|
88% |
420
566.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.9 IPS |
