Google Pixel 8
Geekbench AI Score
373
Single Precision Score
4125
Half Precision Score
7647
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 24 2025 08:54 PM |
| 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 |
| 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
250
46.5 IPS |
|
|
Image Classification (HP)
|
100% |
5363
997.4 IPS |
|
|
Image Classification (Q)
|
99% |
6543
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
7104
115.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15221
247.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
31093
36.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
62087
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
4136
328.1 IPS |
|
|
Object Detection (Q)
|
87% |
5270
422.7 IPS |
|
|
Face Detection (SP)
|
100% |
587
6.97 IPS |
|
|
Face Detection (HP)
|
100% |
12224
145.2 IPS |
|
|
Face Detection (Q)
|
97% |
33811
403.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
503
3.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
27745
213.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
34311
315.9 IPS |
|
|
Style Transfer (SP)
|
100% |
763
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
669
0.86 IPS |
|
|
Style Transfer (Q)
|
72% |
2987
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7436
274.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13861
513.6 IPS |
|
|
Text Classification (SP)
|
100% |
320
427.2 IPS |
|
|
Text Classification (HP)
|
100% |
342
456.3 IPS |
|
|
Text Classification (Q)
|
92% |
1366
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
