Google Pixel 8
Geekbench AI Score
384
Single Precision Score
4383
Half Precision Score
7813
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | 19jet54 |
| Upload Date | July 22 2025 01:54 AM |
| Views | 8 |
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% |
260
48.4 IPS |
|
|
Image Classification (HP)
|
100% |
5156
958.9 IPS |
|
|
Image Classification (Q)
|
99% |
8264
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
7057
114.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15765
256.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
31017
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
62088
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
4632
367.4 IPS |
|
|
Object Detection (Q)
|
87% |
5542
444.6 IPS |
|
|
Face Detection (SP)
|
100% |
572
6.80 IPS |
|
|
Face Detection (HP)
|
100% |
11985
142.4 IPS |
|
|
Face Detection (Q)
|
97% |
25585
305.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
519
4.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
29373
226.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
34676
319.2 IPS |
|
|
Style Transfer (SP)
|
100% |
781
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (Q)
|
73% |
3024
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8423
311.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14266
528.6 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.7 IPS |
|
|
Text Classification (HP)
|
100% |
387
516.2 IPS |
|
|
Text Classification (Q)
|
92% |
1401
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
569
9.80 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (Q)
|
57% |
353
8.62 IPS |
