KYOCERA KC-S305
Geekbench AI Score
139
Single Precision Score
191
Half Precision Score
190
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 05:13 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | KYOCERA KC-S305 |
| Model ID | KYOCERA KC-S305 |
| Motherboard | k6835v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
90
16.8 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.5 IPS |
|
|
Image Classification (Q)
|
99% |
149
27.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
127
2.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
210
3.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
87
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
104
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
104
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.04 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.92 IPS |
|
|
Object Detection (Q)
|
83% |
116
9.40 IPS |
|
|
Face Detection (SP)
|
100% |
287
3.42 IPS |
|
|
Face Detection (HP)
|
100% |
406
4.82 IPS |
|
|
Face Detection (Q)
|
97% |
388
4.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
171
1.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
218
1.68 IPS |
|
|
Depth Estimation (Q)
|
62% |
176
1.67 IPS |
|
|
Style Transfer (SP)
|
100% |
334
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
468
0.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
132
4.89 IPS |
|
|
Text Classification (SP)
|
100% |
130
173.3 IPS |
|
|
Text Classification (HP)
|
100% |
131
175.0 IPS |
|
|
Text Classification (Q)
|
91% |
240
322.9 IPS |
|
|
Machine Translation (SP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (Q)
|
57% |
164
4.02 IPS |
