Google Pixel 7
Geekbench AI Score
225
Single Precision Score
2120
Half Precision Score
6554
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | csoltenborn |
| Upload Date | November 29 2025 03:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
152
28.2 IPS |
|
|
Image Classification (HP)
|
100% |
5518
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8534
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
5312
86.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9426
153.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
237
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
20874
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38065
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
3960
314.1 IPS |
|
|
Object Detection (Q)
|
87% |
5666
454.5 IPS |
|
|
Face Detection (SP)
|
100% |
359
4.26 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (Q)
|
97% |
26381
314.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
287
2.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
18128
139.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
27670
254.7 IPS |
|
|
Style Transfer (SP)
|
100% |
477
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
458
0.59 IPS |
|
|
Style Transfer (Q)
|
57% |
1834
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5013
185.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11058
409.7 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.5 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.3 IPS |
|
|
Text Classification (Q)
|
92% |
2184
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
307
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (Q)
|
57% |
261
6.39 IPS |
