Google Pixel 8
Geekbench AI Score
318
Single Precision Score
4024
Half Precision Score
6824
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 10:59 PM |
| Views | 6 |
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 | 7.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
5472
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
6387
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
7050
114.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14634
238.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
319
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
30632
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
62097
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
4602
365.0 IPS |
|
|
Object Detection (Q)
|
87% |
5241
420.4 IPS |
|
|
Face Detection (SP)
|
100% |
400
4.76 IPS |
|
|
Face Detection (HP)
|
100% |
12437
147.8 IPS |
|
|
Face Detection (Q)
|
97% |
25798
307.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
364
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
28738
221.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
36685
337.7 IPS |
|
|
Style Transfer (SP)
|
100% |
580
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
577
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1343
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8417
310.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14745
546.4 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.6 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.5 IPS |
|
|
Text Classification (Q)
|
92% |
1414
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
454
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (Q)
|
57% |
272
6.64 IPS |
