Google Pixel 7
Geekbench AI Score
204
Single Precision Score
1933
Half Precision Score
6013
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 15 2025 10:15 PM |
| Views | 2 |
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% |
144
26.8 IPS |
|
|
Image Classification (HP)
|
100% |
4774
887.8 IPS |
|
|
Image Classification (Q)
|
99% |
7619
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
4562
74.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7723
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16573
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30276
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
3951
313.4 IPS |
|
|
Object Detection (Q)
|
87% |
5630
451.6 IPS |
|
|
Face Detection (SP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (HP)
|
100% |
339
4.02 IPS |
|
|
Face Detection (Q)
|
97% |
26359
314.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
17589
135.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
27177
250.2 IPS |
|
|
Style Transfer (SP)
|
100% |
441
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
378
0.49 IPS |
|
|
Style Transfer (Q)
|
57% |
1664
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
116
4.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5031
185.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10814
400.7 IPS |
|
|
Text Classification (SP)
|
100% |
113
151.3 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.8 IPS |
|
|
Text Classification (Q)
|
92% |
1943
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.02 IPS |
