Google Pixel 8
Geekbench AI Score
408
Single Precision Score
4457
Half Precision Score
7299
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 02:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
3782
703.3 IPS |
|
|
Image Classification (Q)
|
99% |
4595
857.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
7757
125.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16464
267.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
400
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
31061
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
61542
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
4132
327.8 IPS |
|
|
Object Detection (Q)
|
87% |
6377
511.5 IPS |
|
|
Face Detection (SP)
|
100% |
606
7.20 IPS |
|
|
Face Detection (HP)
|
100% |
16213
192.6 IPS |
|
|
Face Detection (Q)
|
97% |
31354
373.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
535
4.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
33555
258.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
33420
307.6 IPS |
|
|
Style Transfer (SP)
|
100% |
785
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
804
1.03 IPS |
|
|
Style Transfer (Q)
|
73% |
3215
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7796
287.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12981
481.0 IPS |
|
|
Text Classification (SP)
|
100% |
413
550.7 IPS |
|
|
Text Classification (HP)
|
100% |
412
550.0 IPS |
|
|
Text Classification (Q)
|
92% |
819
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
57% |
404
9.88 IPS |
