Google Pixel 8
Geekbench AI Score
350
Single Precision Score
4012
Half Precision Score
5592
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | sunjw8888 |
| Upload Date | August 16 2024 02:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
3131
582.3 IPS |
|
|
Image Classification (Q)
|
99% |
6403
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
8698
141.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19679
320.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
372
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
27640
32.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
62108
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
4474
354.9 IPS |
|
|
Object Detection (Q)
|
90% |
5252
419.9 IPS |
|
|
Face Detection (SP)
|
100% |
549
6.53 IPS |
|
|
Face Detection (HP)
|
100% |
13982
166.1 IPS |
|
|
Face Detection (Q)
|
97% |
28547
340.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
479
3.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
32970
254.0 IPS |
|
|
Depth Estimation (Q)
|
70% |
35782
301.4 IPS |
|
|
Style Transfer (SP)
|
100% |
641
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
645
0.83 IPS |
|
|
Style Transfer (Q)
|
27% |
177
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
254
9.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8767
323.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15401
570.7 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.7 IPS |
|
|
Text Classification (HP)
|
100% |
299
398.5 IPS |
|
|
Text Classification (Q)
|
92% |
858
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.09 IPS |
|
|
Machine Translation (Q)
|
57% |
305
7.45 IPS |
