mPTech Energy_X2_5G
Geekbench AI Score
315
Single Precision Score
558
Half Precision Score
467
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 12:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (Q)
|
97% |
457
85.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
512
8.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
1014
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2034
2.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
2011
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
99% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
83% |
284
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (HP)
|
100% |
1285
15.3 IPS |
|
|
Face Detection (Q)
|
96% |
1129
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
709
5.46 IPS |
|
|
Depth Estimation (HP)
|
98% |
1479
11.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1148
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1915
2.46 IPS |
|
|
Style Transfer (HP)
|
100% |
4091
5.26 IPS |
|
|
Style Transfer (Q)
|
98% |
4272
5.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
849
31.5 IPS |
|
|
Text Classification (SP)
|
35% |
10
89.6 IPS |
|
|
Text Classification (HP)
|
29% |
8
139.8 IPS |
|
|
Text Classification (Q)
|
31% |
10
141.0 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (Q)
|
43% |
79
4.62 IPS |
