Google Pixel 7
Geekbench AI Score
262
Single Precision Score
1999
Half Precision Score
4774
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | techyminati |
| Upload Date | August 18 2024 03:47 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (HP)
|
100% |
4735
880.6 IPS |
|
|
Image Classification (Q)
|
99% |
7606
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
4647
75.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7945
129.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
340
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
16621
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30295
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
3661
290.4 IPS |
|
|
Object Detection (Q)
|
90% |
5158
412.4 IPS |
|
|
Face Detection (SP)
|
100% |
279
3.31 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.20 IPS |
|
|
Face Detection (Q)
|
97% |
25207
300.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
346
2.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
18280
140.8 IPS |
|
|
Depth Estimation (Q)
|
70% |
29200
246.0 IPS |
|
|
Style Transfer (SP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
511
0.66 IPS |
|
|
Style Transfer (Q)
|
28% |
155
3.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
141
5.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5140
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11445
424.1 IPS |
|
|
Text Classification (SP)
|
100% |
213
283.8 IPS |
|
|
Text Classification (HP)
|
100% |
165
219.7 IPS |
|
|
Text Classification (Q)
|
92% |
1921
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.69 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.36 IPS |
