UGRIHACH C11
Geekbench AI Score
260
Single Precision Score
250
Half Precision Score
519
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 05:35 PM |
| Views | 1 |
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% |
124
23.1 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.2 IPS |
|
|
Image Classification (Q)
|
100% |
425
79.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
121
1.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
526
8.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
594
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
600
0.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
1258
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
83% |
355
28.7 IPS |
|
|
Face Detection (SP)
|
100% |
299
3.56 IPS |
|
|
Face Detection (HP)
|
100% |
302
3.59 IPS |
|
|
Face Detection (Q)
|
95% |
856
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
394
3.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
360
2.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
1000
9.16 IPS |
|
|
Style Transfer (SP)
|
89% |
1221
1.58 IPS |
|
|
Style Transfer (HP)
|
89% |
1220
1.58 IPS |
|
|
Style Transfer (Q)
|
98% |
2271
2.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
205
7.55 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
607
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
142
188.9 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.5 IPS |
|
|
Text Classification (Q)
|
88% |
159
215.0 IPS |
|
|
Machine Translation (SP)
|
100% |
200
3.45 IPS |
|
|
Machine Translation (HP)
|
100% |
196
3.37 IPS |
|
|
Machine Translation (Q)
|
50% |
76
2.69 IPS |
