Google Pixel 7
Geekbench AI Score
211
Single Precision Score
2018
Half Precision Score
6178
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | October 23 2025 02:10 PM |
| Views | 3 |
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% |
113
20.9 IPS |
|
|
Image Classification (HP)
|
100% |
4627
860.6 IPS |
|
|
Image Classification (Q)
|
99% |
7277
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
4611
74.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7733
125.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16607
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30353
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
3946
313.0 IPS |
|
|
Object Detection (Q)
|
87% |
5626
451.3 IPS |
|
|
Face Detection (SP)
|
100% |
353
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (Q)
|
97% |
26346
314.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
279
2.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
18205
140.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27246
250.8 IPS |
|
|
Style Transfer (SP)
|
100% |
465
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
458
0.59 IPS |
|
|
Style Transfer (Q)
|
58% |
1858
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11036
408.9 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.4 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.1 IPS |
|
|
Text Classification (Q)
|
92% |
2206
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.36 IPS |
