Google Pixel 7
Geekbench AI Score
273
Single Precision Score
2008
Half Precision Score
4252
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 08:04 AM |
| Views | 1 |
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 | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
216
40.3 IPS |
|
|
Image Classification (HP)
|
100% |
4607
856.7 IPS |
|
|
Image Classification (Q)
|
99% |
7241
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
4487
72.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7705
125.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
317
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14122
16.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
25645
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
3163
250.9 IPS |
|
|
Object Detection (Q)
|
87% |
4557
365.5 IPS |
|
|
Face Detection (SP)
|
100% |
311
3.70 IPS |
|
|
Face Detection (HP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (Q)
|
97% |
21855
260.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
326
2.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
15584
120.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
22954
211.3 IPS |
|
|
Style Transfer (SP)
|
100% |
623
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
615
0.79 IPS |
|
|
Style Transfer (Q)
|
28% |
139
2.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4282
158.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
9690
359.1 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.1 IPS |
|
|
Text Classification (HP)
|
100% |
266
354.9 IPS |
|
|
Text Classification (Q)
|
92% |
1882
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
374
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (Q)
|
57% |
233
5.69 IPS |
