Essential PH-1
Geekbench AI Score
81
Single Precision Score
80
Half Precision Score
122
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | akocis |
| Upload Date | March 23 2025 10:17 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
47
8.69 IPS |
|
|
Image Classification (HP)
|
100% |
47
8.72 IPS |
|
|
Image Classification (Q)
|
99% |
78
14.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
62
1.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
62
1.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
89
1.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
90
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
86
0.10 IPS |
|
|
Pose Estimation (Q)
|
98% |
173
0.20 IPS |
|
|
Object Detection (SP)
|
100% |
47
3.70 IPS |
|
|
Object Detection (HP)
|
100% |
47
3.70 IPS |
|
|
Object Detection (Q)
|
87% |
80
6.43 IPS |
|
|
Face Detection (SP)
|
100% |
121
1.43 IPS |
|
|
Face Detection (HP)
|
100% |
120
1.43 IPS |
|
|
Face Detection (Q)
|
97% |
186
2.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
108
0.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
108
0.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
153
1.39 IPS |
|
|
Style Transfer (SP)
|
100% |
193
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
193
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
367
0.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54
2.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54
1.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
98
3.63 IPS |
|
|
Text Classification (SP)
|
100% |
64
85.0 IPS |
|
|
Text Classification (HP)
|
100% |
63
84.6 IPS |
|
|
Text Classification (Q)
|
91% |
92
123.0 IPS |
|
|
Machine Translation (SP)
|
100% |
119
2.05 IPS |
|
|
Machine Translation (HP)
|
100% |
118
2.03 IPS |
|
|
Machine Translation (Q)
|
57% |
86
2.09 IPS |
