Google Pixel 7
Geekbench AI Score
196
Single Precision Score
1933
Half Precision Score
5962
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 01:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
4712
876.2 IPS |
|
|
Image Classification (Q)
|
99% |
7305
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
4641
75.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7836
127.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
193
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
16594
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30281
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.57 IPS |
|
|
Object Detection (HP)
|
100% |
3835
304.2 IPS |
|
|
Object Detection (Q)
|
87% |
5505
441.6 IPS |
|
|
Face Detection (SP)
|
100% |
337
4.00 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.02 IPS |
|
|
Face Detection (Q)
|
97% |
25906
308.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
266
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
17812
137.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
27080
249.3 IPS |
|
|
Style Transfer (SP)
|
100% |
439
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
382
0.49 IPS |
|
|
Style Transfer (Q)
|
57% |
1658
3.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5054
186.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11276
417.8 IPS |
|
|
Text Classification (SP)
|
100% |
113
150.7 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.9 IPS |
|
|
Text Classification (Q)
|
92% |
1906
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (Q)
|
57% |
238
5.82 IPS |
