Google Pixel 7
Geekbench AI Score
390
Single Precision Score
3322
Half Precision Score
5942
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
4790
890.8 IPS |
|
|
Image Classification (Q)
|
99% |
6592
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (HP)
|
96% |
4508
73.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6844
111.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1568
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
16116
18.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
28567
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
3859
306.1 IPS |
|
|
Object Detection (Q)
|
87% |
5318
426.6 IPS |
|
|
Face Detection (SP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
13304
158.1 IPS |
|
|
Face Detection (Q)
|
97% |
26222
312.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1246
9.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
17400
134.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
27313
251.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1002
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
688
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
1863
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5036
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11146
413.0 IPS |
|
|
Text Classification (SP)
|
100% |
27
36.5 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.7 IPS |
|
|
Text Classification (Q)
|
92% |
1688
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
112
1.92 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.80 IPS |
