Google Pixel 7
Geekbench AI Score
195
Single Precision Score
1929
Half Precision Score
6058
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 02:56 AM |
| Views | 6 |
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% |
144
26.9 IPS |
|
|
Image Classification (HP)
|
100% |
4713
876.5 IPS |
|
|
Image Classification (Q)
|
99% |
7677
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
4473
72.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7813
127.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
223
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16601
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30301
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
119
9.46 IPS |
|
|
Object Detection (HP)
|
100% |
3918
310.8 IPS |
|
|
Object Detection (Q)
|
87% |
5584
447.9 IPS |
|
|
Face Detection (SP)
|
100% |
335
3.99 IPS |
|
|
Face Detection (HP)
|
100% |
337
4.01 IPS |
|
|
Face Detection (Q)
|
97% |
26092
311.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
265
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
18141
139.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
27521
253.3 IPS |
|
|
Style Transfer (SP)
|
100% |
402
0.52 IPS |
|
|
Style Transfer (HP)
|
100% |
375
0.48 IPS |
|
|
Style Transfer (Q)
|
58% |
1690
3.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
116
4.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5063
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11139
412.7 IPS |
|
|
Text Classification (SP)
|
100% |
112
150.2 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.1 IPS |
|
|
Text Classification (Q)
|
92% |
2039
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
244
4.19 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (Q)
|
57% |
238
5.81 IPS |
