Google Pixel 7
Geekbench AI Score
229
Single Precision Score
2235
Half Precision Score
7042
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | June 14 2025 12:43 PM |
| Views | 3 |
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% |
152
28.3 IPS |
|
|
Image Classification (HP)
|
100% |
5563
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
9005
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
5279
85.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9437
153.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20841
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38083
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
4709
373.5 IPS |
|
|
Object Detection (Q)
|
87% |
6536
524.3 IPS |
|
|
Face Detection (SP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (Q)
|
97% |
30989
369.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
290
2.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
22621
174.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
33524
308.6 IPS |
|
|
Style Transfer (SP)
|
100% |
494
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
474
0.61 IPS |
|
|
Style Transfer (Q)
|
58% |
1930
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
139
5.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5007
184.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11161
413.6 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.5 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.9 IPS |
|
|
Text Classification (Q)
|
92% |
2247
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.89 IPS |
