Google Pixel 7
Geekbench AI Score
764
Single Precision Score
722
Half Precision Score
1274
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | techyminati |
| Upload Date | August 18 2024 03:24 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
518
96.4 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
100% |
1456
270.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
570
9.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1476
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1905
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1447
1.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
1864
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
87% |
814
65.4 IPS |
|
|
Face Detection (SP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
1800
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1243
9.57 IPS |
|
|
Depth Estimation (HP)
|
100% |
1241
9.56 IPS |
|
|
Depth Estimation (Q)
|
75% |
2148
17.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2437
3.16 IPS |
|
|
Style Transfer (HP)
|
89% |
2430
3.15 IPS |
|
|
Style Transfer (Q)
|
98% |
4896
6.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
714
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1166
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
342
456.1 IPS |
|
|
Text Classification (HP)
|
100% |
341
454.7 IPS |
|
|
Text Classification (Q)
|
88% |
498
671.0 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.38 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (Q)
|
50% |
316
11.2 IPS |
