Google Pixel 8
Geekbench AI Score
909
Single Precision Score
1318
Half Precision Score
1017
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Kazenosensei |
| Upload Date | August 30 2025 05:08 AM |
| Views | 3 |
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% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.1 IPS |
|
|
Image Classification (Q)
|
97% |
420
78.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1624
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4937
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
12312
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11783
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (HP)
|
99% |
527
41.8 IPS |
|
|
Object Detection (Q)
|
83% |
529
42.7 IPS |
|
|
Face Detection (SP)
|
100% |
2091
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
2487
29.5 IPS |
|
|
Face Detection (Q)
|
96% |
2314
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3286
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5489
42.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4341
41.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7578
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
19671
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18471
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1683
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2145
79.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2054
76.1 IPS |
|
|
Text Classification (SP)
|
35% |
15
133.5 IPS |
|
|
Text Classification (HP)
|
35% |
20
184.9 IPS |
|
|
Text Classification (Q)
|
32% |
11
145.1 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (Q)
|
43% |
67
3.92 IPS |
