Google Pixel 7
Geekbench AI Score
213
Single Precision Score
1964
Half Precision Score
6134
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 03:10 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% |
143
26.6 IPS |
|
|
Image Classification (HP)
|
100% |
4711
876.1 IPS |
|
|
Image Classification (Q)
|
99% |
7374
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
4295
69.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7725
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16573
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30319
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
3884
308.0 IPS |
|
|
Object Detection (Q)
|
87% |
5445
436.8 IPS |
|
|
Face Detection (SP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (HP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (Q)
|
97% |
25859
308.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
17631
135.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
27296
251.3 IPS |
|
|
Style Transfer (SP)
|
100% |
437
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
436
0.56 IPS |
|
|
Style Transfer (Q)
|
58% |
1820
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5003
184.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11111
411.7 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.2 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.6 IPS |
|
|
Text Classification (Q)
|
92% |
2198
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
57% |
256
6.24 IPS |
