Google Pixel 7
Geekbench AI Score
329
Single Precision Score
2562
Half Precision Score
7021
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 05:38 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% |
219
40.7 IPS |
|
|
Image Classification (HP)
|
100% |
5443
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
8740
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
5255
85.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9240
150.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
373
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
20856
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37859
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (HP)
|
100% |
4614
366.0 IPS |
|
|
Object Detection (Q)
|
87% |
6539
524.5 IPS |
|
|
Face Detection (SP)
|
100% |
477
5.67 IPS |
|
|
Face Detection (HP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (Q)
|
97% |
31071
370.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
413
3.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
22629
174.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
33234
305.9 IPS |
|
|
Style Transfer (SP)
|
100% |
673
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
675
0.87 IPS |
|
|
Style Transfer (Q)
|
57% |
2105
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5014
185.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10919
404.6 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.0 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.5 IPS |
|
|
Text Classification (Q)
|
92% |
2140
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.21 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.02 IPS |
