Google Pixel 7
Geekbench AI Score
217
Single Precision Score
2043
Half Precision Score
6357
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 02:12 AM |
| Views | 6 |
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% |
144
26.7 IPS |
|
|
Image Classification (HP)
|
100% |
5519
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8479
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
5548
89.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9368
152.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
223
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16598
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30375
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
3912
310.3 IPS |
|
|
Object Detection (Q)
|
87% |
5655
453.6 IPS |
|
|
Face Detection (SP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (HP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (Q)
|
97% |
25634
305.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
18041
139.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
27685
254.9 IPS |
|
|
Style Transfer (SP)
|
100% |
461
0.59 IPS |
|
|
Style Transfer (HP)
|
100% |
396
0.51 IPS |
|
|
Style Transfer (Q)
|
57% |
1752
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5010
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11026
408.6 IPS |
|
|
Text Classification (SP)
|
100% |
175
232.9 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.1 IPS |
|
|
Text Classification (Q)
|
92% |
2191
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
299
5.16 IPS |
|
|
Machine Translation (HP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (Q)
|
57% |
263
6.44 IPS |
