Google Pixel 7
Geekbench AI Score
211
Single Precision Score
1945
Half Precision Score
6069
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 03:35 AM |
| 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
26.3 IPS |
|
|
Image Classification (HP)
|
100% |
4636
862.2 IPS |
|
|
Image Classification (Q)
|
99% |
7210
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
4623
74.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7834
127.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16637
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30295
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.58 IPS |
|
|
Object Detection (HP)
|
100% |
3917
310.7 IPS |
|
|
Object Detection (Q)
|
87% |
5616
450.5 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.02 IPS |
|
|
Face Detection (Q)
|
97% |
26147
311.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
264
2.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
17993
138.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
27497
253.1 IPS |
|
|
Style Transfer (SP)
|
100% |
433
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
374
0.48 IPS |
|
|
Style Transfer (Q)
|
58% |
1703
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4993
184.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10840
401.7 IPS |
|
|
Text Classification (SP)
|
100% |
171
227.9 IPS |
|
|
Text Classification (HP)
|
100% |
172
229.8 IPS |
|
|
Text Classification (Q)
|
92% |
2007
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (Q)
|
57% |
265
6.47 IPS |
