Essential PH-1
Geekbench AI Score
133
Single Precision Score
218
Half Precision Score
213
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | akocis |
| Upload Date | March 23 2025 08:51 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 835 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Essential PH-1 |
| Model ID | Essential Products PH-1 |
| Motherboard | Mata |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.46 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.4 IPS |
|
|
Image Classification (Q)
|
97% |
233
43.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
270
4.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
142
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
260
0.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
248
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.93 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (Q)
|
89% |
144
11.5 IPS |
|
|
Face Detection (SP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (HP)
|
100% |
572
6.80 IPS |
|
|
Face Detection (Q)
|
97% |
474
5.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
203
1.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
400
3.09 IPS |
|
|
Depth Estimation (Q)
|
62% |
326
3.09 IPS |
|
|
Style Transfer (SP)
|
100% |
374
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
803
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
899
1.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77
2.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
216
7.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
187
6.93 IPS |
|
|
Text Classification (SP)
|
100% |
31
41.6 IPS |
|
|
Text Classification (HP)
|
100% |
31
41.6 IPS |
|
|
Text Classification (Q)
|
91% |
54
73.2 IPS |
|
|
Machine Translation (SP)
|
100% |
87
1.49 IPS |
|
|
Machine Translation (HP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (Q)
|
57% |
61
1.49 IPS |
