TES IDC_Series
Geekbench AI Score
585
Single Precision Score
581
Half Precision Score
1103
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 07:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | TES IDC_Series |
| Model ID | TES IDC_Series |
| Motherboard | IDC_Series |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
261
48.6 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (Q)
|
100% |
740
137.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
848
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1260
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1185
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1754
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (Q)
|
83% |
735
59.4 IPS |
|
|
Face Detection (SP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
893
10.6 IPS |
|
|
Face Detection (Q)
|
95% |
1738
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1024
7.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
1034
7.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1665
15.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1962
2.55 IPS |
|
|
Style Transfer (HP)
|
89% |
1984
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
4192
5.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
632
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1015
37.6 IPS |
|
|
Text Classification (SP)
|
100% |
307
409.9 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.0 IPS |
|
|
Text Classification (Q)
|
88% |
633
853.1 IPS |
|
|
Machine Translation (SP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
50% |
423
15.0 IPS |
