Google Pixel 8
Geekbench AI Score
354
Single Precision Score
4299
Half Precision Score
7706
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | greedus |
| Upload Date | April 13 2025 06:13 PM |
| Views | 9 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
234
43.6 IPS |
|
|
Image Classification (HP)
|
100% |
7117
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
6626
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
7701
124.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15790
256.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
372
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30143
35.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
64485
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
4302
341.2 IPS |
|
|
Object Detection (Q)
|
87% |
5332
427.7 IPS |
|
|
Face Detection (SP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (HP)
|
100% |
12224
145.2 IPS |
|
|
Face Detection (Q)
|
97% |
25846
308.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
450
3.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
28818
222.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
38445
353.9 IPS |
|
|
Style Transfer (SP)
|
100% |
665
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
601
0.77 IPS |
|
|
Style Transfer (Q)
|
72% |
2848
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
236
8.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8753
323.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15068
558.3 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.2 IPS |
|
|
Text Classification (HP)
|
100% |
330
441.1 IPS |
|
|
Text Classification (Q)
|
92% |
1519
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
509
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.55 IPS |
|
|
Machine Translation (Q)
|
57% |
317
7.76 IPS |
