Google Pixel 8
Geekbench AI Score
694
Single Precision Score
832
Half Precision Score
816
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | musarikhotso |
| Upload Date | March 24 2025 06:59 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
404
75.1 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (Q)
|
99% |
426
79.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1056
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
500
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
698
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
695
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
83% |
547
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
1637
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1840
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
1743
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
964
7.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
1192
9.18 IPS |
|
|
Depth Estimation (Q)
|
62% |
966
9.15 IPS |
|
|
Style Transfer (SP)
|
100% |
2617
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3396
4.37 IPS |
|
|
Style Transfer (Q)
|
98% |
3384
4.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
623
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.8 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.9 IPS |
|
|
Text Classification (Q)
|
91% |
614
824.9 IPS |
|
|
Machine Translation (SP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
57% |
352
8.60 IPS |
