UGRIHACH C11
Geekbench AI Score
258
Single Precision Score
249
Half Precision Score
480
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 06:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | UGRIHACH C11 |
| Model ID | UGRIHACH C11 |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Base Frequency | 1.42 GHz |
| Cluster 1 | 4 Cores @ 1.42 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.2 IPS |
|
|
Image Classification (Q)
|
100% |
262
48.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
524
8.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
609
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
578
0.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
1221
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
83% |
330
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
299
3.56 IPS |
|
|
Face Detection (HP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (Q)
|
95% |
827
9.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
384
2.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
290
2.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
989
9.06 IPS |
|
|
Style Transfer (SP)
|
89% |
1187
1.54 IPS |
|
|
Style Transfer (HP)
|
89% |
1199
1.56 IPS |
|
|
Style Transfer (Q)
|
98% |
2241
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
206
7.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
554
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
136
181.6 IPS |
|
|
Text Classification (HP)
|
100% |
133
178.1 IPS |
|
|
Text Classification (Q)
|
88% |
151
203.5 IPS |
|
|
Machine Translation (SP)
|
100% |
187
3.23 IPS |
|
|
Machine Translation (HP)
|
100% |
186
3.21 IPS |
|
|
Machine Translation (Q)
|
50% |
77
2.73 IPS |
