Essential PH-1
Geekbench AI Score
15
Single Precision Score
14
Half Precision Score
8
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | akocis |
| Upload Date | March 23 2025 07:22 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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)
|
0% |
0
2.12 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.22 KIPS |
|
|
Image Classification (Q)
|
0% |
0
2.90 KIPS |
|
|
Image Segmentation (SP)
|
73% |
14300
247.1 IPS |
|
|
Image Segmentation (HP)
|
73% |
14525
251.0 IPS |
|
|
Image Segmentation (Q)
|
73% |
29368
507.5 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
591.9 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
583.4 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.88 KIPS |
|
|
Object Detection (SP)
|
0% |
0
839.7 IPS |
|
|
Object Detection (HP)
|
0% |
0
852.9 IPS |
|
|
Object Detection (Q)
|
0% |
0
663.1 IPS |
|
|
Face Detection (SP)
|
0% |
0
313.7 IPS |
|
|
Face Detection (HP)
|
0% |
0
313.9 IPS |
|
|
Face Detection (Q)
|
0% |
0
428.7 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
605.1 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
592.3 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
516.1 IPS |
|
|
Style Transfer (SP)
|
32% |
90781
1.14 KIPS |
|
|
Style Transfer (HP)
|
32% |
89593
1.12 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
4.67 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
215
2.53 KIPS |
|
|
Text Classification (SP)
|
29% |
455
7.86 KIPS |
|
|
Text Classification (HP)
|
29% |
435
7.52 KIPS |
|
|
Text Classification (Q)
|
29% |
300
5.17 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.52 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.38 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.02 IPS |
