Google Pixel 7
Geekbench AI Score
230
Single Precision Score
2278
Half Precision Score
7155
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 07:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
5492
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
8527
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
5224
84.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9312
151.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20875
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37963
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
4684
371.5 IPS |
|
|
Object Detection (Q)
|
87% |
6592
528.8 IPS |
|
|
Face Detection (SP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (Q)
|
97% |
31028
370.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
292
2.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
22552
173.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
33375
307.2 IPS |
|
|
Style Transfer (SP)
|
100% |
500
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
478
0.62 IPS |
|
|
Style Transfer (Q)
|
58% |
1962
3.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6172
227.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13614
504.5 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.6 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.6 IPS |
|
|
Text Classification (Q)
|
92% |
2482
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (Q)
|
57% |
258
6.30 IPS |
