Google Pixel 7
Geekbench AI Score
191
Single Precision Score
1905
Half Precision Score
5942
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | June 04 2025 02:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
123
22.8 IPS |
|
|
Image Classification (HP)
|
100% |
4637
862.4 IPS |
|
|
Image Classification (Q)
|
99% |
7219
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
4565
74.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7780
126.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
195
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
16566
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30404
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.27 IPS |
|
|
Object Detection (HP)
|
100% |
3834
304.1 IPS |
|
|
Object Detection (Q)
|
87% |
5458
437.8 IPS |
|
|
Face Detection (SP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (HP)
|
100% |
328
3.90 IPS |
|
|
Face Detection (Q)
|
97% |
25645
305.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
255
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
17806
137.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
27519
253.3 IPS |
|
|
Style Transfer (SP)
|
100% |
354
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
365
0.47 IPS |
|
|
Style Transfer (Q)
|
58% |
1703
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
109
4.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5035
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10927
404.9 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.1 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.2 IPS |
|
|
Text Classification (Q)
|
92% |
1847
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (Q)
|
57% |
243
5.95 IPS |
