Google Pixel 7
Geekbench AI Score
230
Single Precision Score
2246
Half Precision Score
6932
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2025 03:01 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% |
151
28.1 IPS |
|
|
Image Classification (HP)
|
100% |
5481
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
8418
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
5490
89.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9498
154.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20877
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37962
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
4707
373.4 IPS |
|
|
Object Detection (Q)
|
87% |
6679
535.8 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (Q)
|
97% |
31658
377.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
294
2.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
22935
176.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
33782
311.0 IPS |
|
|
Style Transfer (SP)
|
100% |
479
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
474
0.61 IPS |
|
|
Style Transfer (Q)
|
58% |
1908
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10959
406.1 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.9 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.8 IPS |
|
|
Text Classification (Q)
|
92% |
2079
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
57% |
272
6.64 IPS |
