Google Pixel 7
Geekbench AI Score
199
Single Precision Score
1868
Half Precision Score
5853
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 21 2025 01:51 AM |
| Views | 2 |
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% |
143
26.6 IPS |
|
|
Image Classification (HP)
|
100% |
4675
869.4 IPS |
|
|
Image Classification (Q)
|
99% |
7107
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
185
2.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
4226
68.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7367
119.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
215
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16564
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30277
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.27 IPS |
|
|
Object Detection (HP)
|
100% |
3707
294.0 IPS |
|
|
Object Detection (Q)
|
87% |
5244
420.7 IPS |
|
|
Face Detection (SP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (HP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (Q)
|
97% |
24840
296.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
255
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
16971
130.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
26602
244.9 IPS |
|
|
Style Transfer (SP)
|
100% |
409
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
373
0.48 IPS |
|
|
Style Transfer (Q)
|
58% |
1688
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
110
4.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10822
401.0 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.5 IPS |
|
|
Text Classification (HP)
|
100% |
159
211.9 IPS |
|
|
Text Classification (Q)
|
92% |
1913
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.01 IPS |
