Google Pixel 7
Geekbench AI Score
354
Single Precision Score
2722
Half Precision Score
5989
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | aeonsim |
| Upload Date | August 16 2024 03:24 AM |
| Views | 4 |
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% |
221
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
5653
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
8852
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
288
4.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
5166
83.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9408
153.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
20819
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37931
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
4775
378.8 IPS |
|
|
Object Detection (Q)
|
90% |
6815
544.8 IPS |
|
|
Face Detection (SP)
|
100% |
518
6.15 IPS |
|
|
Face Detection (HP)
|
100% |
520
6.17 IPS |
|
|
Face Detection (Q)
|
97% |
31273
372.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
464
3.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
22612
174.2 IPS |
|
|
Depth Estimation (Q)
|
70% |
36297
305.8 IPS |
|
|
Style Transfer (SP)
|
100% |
740
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
707
0.91 IPS |
|
|
Style Transfer (Q)
|
28% |
208
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6281
231.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14310
530.3 IPS |
|
|
Text Classification (SP)
|
100% |
311
414.6 IPS |
|
|
Text Classification (HP)
|
100% |
316
421.5 IPS |
|
|
Text Classification (Q)
|
92% |
2423
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
57% |
337
8.24 IPS |
