Google Pixel 7
Geekbench AI Score
699
Single Precision Score
1024
Half Precision Score
795
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 05 2026 11:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 7 |
| Model ID | Google Pixel 7 |
| Motherboard | panther |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.2 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1282
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4366
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
9101
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9008
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (HP)
|
99% |
485
38.4 IPS |
|
|
Object Detection (Q)
|
83% |
451
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
1731
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (Q)
|
96% |
2009
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2284
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3450
26.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
2732
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6467
8.31 IPS |
|
|
Style Transfer (HP)
|
100% |
15034
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14459
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1092
40.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1132
41.9 IPS |
|
|
Text Classification (SP)
|
35% |
11
103.9 IPS |
|
|
Text Classification (HP)
|
35% |
15
133.9 IPS |
|
|
Text Classification (Q)
|
32% |
10
125.6 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
43% |
78
4.52 IPS |
