Google Pixel 7
Geekbench AI Score
339
Single Precision Score
2601
Half Precision Score
7071
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ArcaneJacky |
| Upload Date | December 31 2024 02:02 PM |
| Views | 3 |
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% |
223
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
5454
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
8505
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
5296
85.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9470
154.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
20881
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37919
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
4696
372.5 IPS |
|
|
Object Detection (Q)
|
87% |
6545
525.0 IPS |
|
|
Face Detection (SP)
|
100% |
487
5.79 IPS |
|
|
Face Detection (HP)
|
100% |
497
5.90 IPS |
|
|
Face Detection (Q)
|
97% |
31600
376.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
427
3.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
22581
174.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
33337
306.9 IPS |
|
|
Style Transfer (SP)
|
100% |
686
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
693
0.89 IPS |
|
|
Style Transfer (Q)
|
58% |
2215
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
214
7.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10891
403.6 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.3 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.4 IPS |
|
|
Text Classification (Q)
|
92% |
2079
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (Q)
|
57% |
296
7.23 IPS |
