Google Pixel 8
Geekbench AI Score
897
Single Precision Score
1389
Half Precision Score
969
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | 19jet54 |
| Upload Date | July 22 2025 02:13 AM |
| Views | 7 |
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% |
304
56.5 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.1 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1679
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4898
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
11900
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11727
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
495
39.2 IPS |
|
|
Object Detection (HP)
|
99% |
799
63.4 IPS |
|
|
Object Detection (Q)
|
83% |
544
44.0 IPS |
|
|
Face Detection (SP)
|
100% |
2087
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (Q)
|
96% |
2256
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3282
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5438
42.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4303
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7457
9.59 IPS |
|
|
Style Transfer (HP)
|
100% |
19600
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18231
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1986
73.6 IPS |
|
|
Text Classification (SP)
|
35% |
16
142.1 IPS |
|
|
Text Classification (HP)
|
35% |
20
182.0 IPS |
|
|
Text Classification (Q)
|
32% |
11
145.4 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.70 IPS |
