mPTech Energy_X2_5G
Geekbench AI Score
473
Single Precision Score
472
Half Precision Score
983
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 12:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | mPTech Energy_X2_5G |
| Model ID | mPTech Energy_X2_5G |
| Motherboard | pri_board |
| 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 @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (Q)
|
100% |
691
128.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
751
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1086
1.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
1714
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
83% |
660
53.3 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.75 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.68 IPS |
|
|
Face Detection (Q)
|
95% |
1557
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
469
3.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
494
3.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1566
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1760
2.28 IPS |
|
|
Style Transfer (HP)
|
89% |
1773
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3886
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
926
34.3 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.5 IPS |
|
|
Text Classification (HP)
|
100% |
281
375.0 IPS |
|
|
Text Classification (Q)
|
88% |
484
653.1 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (Q)
|
50% |
340
12.1 IPS |
