Rakuten Mini unknown Phh-Treble vanilla
Geekbench AI Score
40
Single Precision Score
40
Half Precision Score
60
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SyameimaruKoa |
| Upload Date | December 07 2024 08:44 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | unknown Phh-Treble vanilla |
| Model ID | unknown Phh-Treble vanilla |
| Motherboard | QC_Reference_Phone |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 1.46 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
23
4.24 IPS |
|
|
Image Classification (HP)
|
100% |
23
4.28 IPS |
|
|
Image Classification (Q)
|
99% |
39
7.22 IPS |
|
|
Image Segmentation (SP)
|
100% |
31
0.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
31
0.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
45
0.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
47
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
47
0.05 IPS |
|
|
Pose Estimation (Q)
|
98% |
78
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
23
1.81 IPS |
|
|
Object Detection (HP)
|
100% |
23
1.82 IPS |
|
|
Object Detection (Q)
|
87% |
39
3.14 IPS |
|
|
Face Detection (SP)
|
100% |
56
0.66 IPS |
|
|
Face Detection (HP)
|
100% |
56
0.67 IPS |
|
|
Face Detection (Q)
|
97% |
98
1.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
53
0.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
53
0.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
77
0.70 IPS |
|
|
Style Transfer (SP)
|
100% |
96
0.12 IPS |
|
|
Style Transfer (HP)
|
100% |
96
0.12 IPS |
|
|
Style Transfer (Q)
|
98% |
177
0.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27
0.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27
0.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
47
1.75 IPS |
|
|
Text Classification (SP)
|
100% |
32
43.1 IPS |
|
|
Text Classification (HP)
|
100% |
32
43.3 IPS |
|
|
Text Classification (Q)
|
91% |
45
59.8 IPS |
|
|
Machine Translation (SP)
|
100% |
58
1.00 IPS |
|
|
Machine Translation (HP)
|
100% |
58
0.99 IPS |
|
|
Machine Translation (Q)
|
57% |
42
1.03 IPS |
