Google Pixel 7
Geekbench AI Score
228
Single Precision Score
2252
Half Precision Score
6753
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2025 02:51 AM |
| Views | 4 |
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% |
145
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
5474
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
7986
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
5213
84.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9126
148.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
20791
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37946
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
4603
365.1 IPS |
|
|
Object Detection (Q)
|
87% |
6442
516.7 IPS |
|
|
Face Detection (SP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (Q)
|
97% |
30473
363.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
298
2.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
22861
176.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
32111
295.6 IPS |
|
|
Style Transfer (SP)
|
100% |
446
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
429
0.55 IPS |
|
|
Style Transfer (Q)
|
57% |
1916
3.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
141
5.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5072
187.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11025
408.5 IPS |
|
|
Text Classification (SP)
|
100% |
207
276.4 IPS |
|
|
Text Classification (HP)
|
100% |
207
275.7 IPS |
|
|
Text Classification (Q)
|
92% |
1948
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (Q)
|
57% |
275
6.73 IPS |
