Google Pixel 8
Geekbench AI Score
378
Single Precision Score
4238
Half Precision Score
7433
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 03:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
253
47.0 IPS |
|
|
Image Classification (HP)
|
100% |
5599
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
6971
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
6745
109.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13809
224.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
378
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30936
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
62368
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
4237
336.1 IPS |
|
|
Object Detection (Q)
|
87% |
5141
412.4 IPS |
|
|
Face Detection (SP)
|
100% |
587
6.98 IPS |
|
|
Face Detection (HP)
|
100% |
12218
145.2 IPS |
|
|
Face Detection (Q)
|
97% |
25669
306.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
499
3.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
29866
230.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
34241
315.2 IPS |
|
|
Style Transfer (SP)
|
100% |
772
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
725
0.93 IPS |
|
|
Style Transfer (Q)
|
73% |
2838
3.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
257
9.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8910
329.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14813
548.9 IPS |
|
|
Text Classification (SP)
|
100% |
321
427.8 IPS |
|
|
Text Classification (HP)
|
100% |
319
426.3 IPS |
|
|
Text Classification (Q)
|
92% |
1395
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
515
8.88 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (Q)
|
57% |
324
7.91 IPS |
