Google Pixel 7
Geekbench AI Score
187
Single Precision Score
1909
Half Precision Score
5942
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 20 2025 12:17 AM |
| 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% |
111
20.7 IPS |
|
|
Image Classification (HP)
|
100% |
4686
871.5 IPS |
|
|
Image Classification (Q)
|
99% |
7164
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
4558
73.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7572
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
16577
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30332
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
118
9.33 IPS |
|
|
Object Detection (HP)
|
100% |
3883
308.0 IPS |
|
|
Object Detection (Q)
|
87% |
5470
438.8 IPS |
|
|
Face Detection (SP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (HP)
|
100% |
309
3.67 IPS |
|
|
Face Detection (Q)
|
97% |
25613
305.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
254
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
17834
137.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
26987
248.4 IPS |
|
|
Style Transfer (SP)
|
100% |
380
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
377
0.48 IPS |
|
|
Style Transfer (Q)
|
58% |
1702
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
111
4.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5009
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10999
407.6 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.1 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.1 IPS |
|
|
Text Classification (Q)
|
92% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (Q)
|
57% |
253
6.17 IPS |
