Google Pixel 8
Geekbench AI Score
331
Single Precision Score
3690
Half Precision Score
7002
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | moumd |
| Upload Date | July 20 2025 01:43 PM |
| Views | 14 |
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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (HP)
|
100% |
3839
714.0 IPS |
|
|
Image Classification (Q)
|
99% |
7357
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
275
4.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
6471
104.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15036
244.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
357
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30129
35.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
60766
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
3764
298.6 IPS |
|
|
Object Detection (Q)
|
87% |
4378
351.2 IPS |
|
|
Face Detection (SP)
|
100% |
446
5.30 IPS |
|
|
Face Detection (HP)
|
100% |
12241
145.4 IPS |
|
|
Face Detection (Q)
|
97% |
26884
320.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
468
3.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
25769
198.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
31825
293.0 IPS |
|
|
Style Transfer (SP)
|
100% |
631
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
624
0.80 IPS |
|
|
Style Transfer (Q)
|
73% |
2968
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7890
291.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13516
500.8 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.0 IPS |
|
|
Text Classification (HP)
|
100% |
269
359.3 IPS |
|
|
Text Classification (Q)
|
92% |
877
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
