Google Pixel 8
Geekbench AI Score
411
Single Precision Score
4461
Half Precision Score
6940
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dr904 |
| Upload Date | December 08 2024 05:35 PM |
| Views | 4 |
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% |
274
50.9 IPS |
|
|
Image Classification (HP)
|
100% |
3324
618.1 IPS |
|
|
Image Classification (Q)
|
99% |
4225
788.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
327
5.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
9360
151.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15559
253.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
396
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
30893
36.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
63276
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
4197
332.9 IPS |
|
|
Object Detection (Q)
|
87% |
4838
388.1 IPS |
|
|
Face Detection (SP)
|
100% |
624
7.42 IPS |
|
|
Face Detection (HP)
|
100% |
17230
204.7 IPS |
|
|
Face Detection (Q)
|
97% |
30888
368.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
534
4.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
30256
233.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
34070
313.6 IPS |
|
|
Style Transfer (SP)
|
100% |
819
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
823
1.06 IPS |
|
|
Style Transfer (Q)
|
72% |
3029
4.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7828
289.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12777
473.5 IPS |
|
|
Text Classification (SP)
|
100% |
400
534.4 IPS |
|
|
Text Classification (HP)
|
100% |
402
536.6 IPS |
|
|
Text Classification (Q)
|
92% |
787
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (Q)
|
57% |
402
9.83 IPS |
