Google rex
Geekbench AI Score
167
Single Precision Score
167
Half Precision Score
95
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | morewings |
| Upload Date | July 14 2025 03:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
102
19.1 IPS |
|
|
Image Classification (HP)
|
100% |
102
18.9 IPS |
|
|
Image Classification (Q)
|
99% |
56
10.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
128
2.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
127
2.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
63
1.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
165
0.19 IPS |
|
|
Pose Estimation (Q)
|
98% |
143
0.17 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.60 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.75 IPS |
|
|
Object Detection (Q)
|
87% |
59
4.77 IPS |
|
|
Face Detection (SP)
|
100% |
286
3.39 IPS |
|
|
Face Detection (HP)
|
100% |
287
3.41 IPS |
|
|
Face Detection (Q)
|
97% |
114
1.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
226
1.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
225
1.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
137
1.24 IPS |
|
|
Style Transfer (SP)
|
100% |
400
0.51 IPS |
|
|
Style Transfer (HP)
|
100% |
403
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
383
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
108
3.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
106
3.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
77
2.85 IPS |
|
|
Text Classification (SP)
|
100% |
129
171.9 IPS |
|
|
Text Classification (HP)
|
100% |
130
173.7 IPS |
|
|
Text Classification (Q)
|
91% |
61
82.1 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.09 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (Q)
|
57% |
73
1.79 IPS |
