Google Pixel 7
Geekbench AI Score
212
Single Precision Score
1970
Half Precision Score
6134
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 07:52 PM |
| 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% |
143
26.6 IPS |
|
|
Image Classification (HP)
|
100% |
4624
859.8 IPS |
|
|
Image Classification (Q)
|
99% |
7386
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
4607
74.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7727
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16577
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30345
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.50 IPS |
|
|
Object Detection (HP)
|
100% |
3921
311.0 IPS |
|
|
Object Detection (Q)
|
87% |
5605
449.6 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (Q)
|
97% |
25566
304.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
266
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
18177
140.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
27212
250.5 IPS |
|
|
Style Transfer (SP)
|
100% |
440
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
430
0.55 IPS |
|
|
Style Transfer (Q)
|
58% |
1814
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5012
185.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11014
408.1 IPS |
|
|
Text Classification (SP)
|
100% |
169
226.2 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.1 IPS |
|
|
Text Classification (Q)
|
92% |
2212
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
57% |
253
6.19 IPS |
