Google Pixel 7
Geekbench AI Score
212
Single Precision Score
2055
Half Precision Score
6322
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 07:48 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% |
151
28.2 IPS |
|
|
Image Classification (HP)
|
100% |
5600
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
8659
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
5310
86.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9527
154.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
234
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16600
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30378
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
3968
314.7 IPS |
|
|
Object Detection (Q)
|
87% |
5685
456.0 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (Q)
|
97% |
26273
313.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
17960
138.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
27433
252.5 IPS |
|
|
Style Transfer (SP)
|
100% |
450
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
438
0.56 IPS |
|
|
Style Transfer (Q)
|
58% |
1796
3.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
126
4.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5043
186.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11001
407.7 IPS |
|
|
Text Classification (SP)
|
100% |
124
164.9 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.8 IPS |
|
|
Text Classification (Q)
|
92% |
2012
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.90 IPS |
|
|
Machine Translation (Q)
|
57% |
250
6.11 IPS |
