Google rex
Geekbench AI Score
747
Single Precision Score
942
Half Precision Score
748
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | morewings |
| Upload Date | July 14 2025 03:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google rex |
| Model ID | Google rex |
| Motherboard | screebo |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 14 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 14.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
732
136.2 IPS |
|
|
Image Classification (HP)
|
100% |
1094
203.5 IPS |
|
|
Image Classification (Q)
|
96% |
1060
197.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
302
4.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1553
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2265
2.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
2173
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
470
37.8 IPS |
|
|
Face Detection (SP)
|
100% |
1412
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (Q)
|
96% |
1977
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1994
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2609
20.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2180
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4907
6.31 IPS |
|
|
Style Transfer (HP)
|
100% |
7468
9.60 IPS |
|
|
Style Transfer (Q)
|
98% |
7458
9.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1074
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1156
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
133
177.2 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.1 IPS |
|
|
Text Classification (Q)
|
91% |
62
83.4 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
57% |
73
1.79 IPS |
