Google Pixel 7
Geekbench AI Score
357
Single Precision Score
2753
Half Precision Score
5890
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | aeonsim |
| Upload Date | September 08 2024 08:36 AM |
| Views | 15 |
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% |
223
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
5564
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8672
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
5366
87.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9584
155.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
389
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
20873
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37806
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
4701
372.8 IPS |
|
|
Object Detection (Q)
|
87% |
6705
537.8 IPS |
|
|
Face Detection (SP)
|
100% |
527
6.26 IPS |
|
|
Face Detection (HP)
|
100% |
527
6.26 IPS |
|
|
Face Detection (Q)
|
97% |
31609
376.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
468
3.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
22691
174.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
33254
306.1 IPS |
|
|
Style Transfer (SP)
|
100% |
754
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
748
0.96 IPS |
|
|
Style Transfer (Q)
|
28% |
210
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6220
229.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13630
505.1 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.7 IPS |
|
|
Text Classification (HP)
|
100% |
324
431.9 IPS |
|
|
Text Classification (Q)
|
92% |
2465
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (Q)
|
57% |
322
7.87 IPS |
