Google Pixel 7
Geekbench AI Score
205
Single Precision Score
1989
Half Precision Score
6217
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ritik1207 |
| Upload Date | October 20 2025 02:59 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% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
5586
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
8444
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
5226
84.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9391
152.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16575
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30344
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.56 IPS |
|
|
Object Detection (HP)
|
100% |
3908
309.9 IPS |
|
|
Object Detection (Q)
|
87% |
5578
447.4 IPS |
|
|
Face Detection (SP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (HP)
|
100% |
337
4.00 IPS |
|
|
Face Detection (Q)
|
97% |
25655
305.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
264
2.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
18007
138.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
27136
249.8 IPS |
|
|
Style Transfer (SP)
|
100% |
424
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
373
0.48 IPS |
|
|
Style Transfer (Q)
|
58% |
1738
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
115
4.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5012
185.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11326
419.7 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.5 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.5 IPS |
|
|
Text Classification (Q)
|
92% |
2097
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (Q)
|
57% |
224
5.47 IPS |
