KYOCERA A101BM
Geekbench AI Score
152
Single Precision Score
260
Half Precision Score
261
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 06:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | KYOCERA A101BM |
| Model ID | KYOCERA A101BM |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 5.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
86
16.0 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.6 IPS |
|
|
Image Classification (Q)
|
97% |
159
29.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
114
1.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
240
3.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
153
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
263
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
74
5.83 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.87 IPS |
|
|
Object Detection (Q)
|
89% |
117
9.34 IPS |
|
|
Face Detection (SP)
|
100% |
219
2.60 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (Q)
|
97% |
470
5.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
200
1.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
417
3.22 IPS |
|
|
Depth Estimation (Q)
|
62% |
343
3.25 IPS |
|
|
Style Transfer (SP)
|
100% |
355
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
939
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
935
1.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
89
3.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
176
6.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
173
6.42 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.6 IPS |
|
|
Text Classification (HP)
|
100% |
165
219.8 IPS |
|
|
Text Classification (Q)
|
91% |
276
371.4 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
57% |
177
4.33 IPS |
