Kingtex Technology T10
Geekbench AI Score
223
Single Precision Score
224
Half Precision Score
225
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 11 2024 02:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Kingtex Technology T10 |
| Model ID | Kingtex Technology T10 |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
100% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
188
3.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
321
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
119
9.47 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.65 IPS |
|
|
Object Detection (Q)
|
83% |
150
12.1 IPS |
|
|
Face Detection (SP)
|
100% |
277
3.29 IPS |
|
|
Face Detection (HP)
|
100% |
284
3.38 IPS |
|
|
Face Detection (Q)
|
95% |
345
4.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
318
2.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
290
2.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
328
3.00 IPS |
|
|
Style Transfer (SP)
|
89% |
841
1.09 IPS |
|
|
Style Transfer (HP)
|
89% |
839
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
902
1.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
214
7.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
205
7.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
193
7.14 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.0 IPS |
|
|
Text Classification (HP)
|
100% |
118
158.1 IPS |
|
|
Text Classification (Q)
|
88% |
132
178.1 IPS |
|
|
Machine Translation (SP)
|
100% |
193
3.33 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.42 IPS |
|
|
Machine Translation (Q)
|
50% |
94
3.32 IPS |
