Google Pixel 7
Geekbench AI Score
219
Single Precision Score
1963
Half Precision Score
6125
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 07:23 PM |
| 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% |
143
26.6 IPS |
|
|
Image Classification (HP)
|
100% |
4547
845.6 IPS |
|
|
Image Classification (Q)
|
99% |
7370
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
4232
68.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7616
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16574
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30442
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
3791
300.7 IPS |
|
|
Object Detection (Q)
|
87% |
5564
446.3 IPS |
|
|
Face Detection (SP)
|
100% |
349
4.15 IPS |
|
|
Face Detection (HP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (Q)
|
97% |
25408
302.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
16847
129.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
26923
247.8 IPS |
|
|
Style Transfer (SP)
|
100% |
459
0.59 IPS |
|
|
Style Transfer (HP)
|
100% |
452
0.58 IPS |
|
|
Style Transfer (Q)
|
58% |
1831
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4971
183.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10985
407.1 IPS |
|
|
Text Classification (SP)
|
100% |
186
247.8 IPS |
|
|
Text Classification (HP)
|
100% |
185
246.9 IPS |
|
|
Text Classification (Q)
|
92% |
2231
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
57% |
255
6.24 IPS |
