Google Pixel 7
Geekbench AI Score
196
Single Precision Score
1866
Half Precision Score
5857
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:25 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
26.8 IPS |
|
|
Image Classification (HP)
|
100% |
4767
886.6 IPS |
|
|
Image Classification (Q)
|
99% |
7311
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
4623
74.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7716
125.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
218
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16584
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30279
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.23 IPS |
|
|
Object Detection (HP)
|
100% |
3793
300.9 IPS |
|
|
Object Detection (Q)
|
87% |
5366
430.5 IPS |
|
|
Face Detection (SP)
|
100% |
322
3.83 IPS |
|
|
Face Detection (HP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (Q)
|
97% |
25132
299.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
248
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
16582
127.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
26017
239.5 IPS |
|
|
Style Transfer (SP)
|
100% |
355
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
329
0.42 IPS |
|
|
Style Transfer (Q)
|
58% |
1520
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
110
4.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5028
185.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11025
408.5 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.4 IPS |
|
|
Text Classification (HP)
|
100% |
159
211.8 IPS |
|
|
Text Classification (Q)
|
92% |
2077
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (Q)
|
57% |
228
5.56 IPS |
