Solana Mobile Saga
Geekbench ML Score
485
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 21 2023 11:59 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Solana Mobile Saga |
| Model ID | Solana Mobile Saga |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.98 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
209
39.2 IPS |
|
|
Image Classification (F16)
|
100% |
210
39.4 IPS |
|
|
Image Classification (I8)
|
97% |
588
110.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
264
4.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
265
4.42 IPS |
|
|
Image Segmentation (I8)
|
98% |
615
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
351
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
360
0.44 IPS |
|
|
Pose Estimation (I8)
|
100% |
1438
1.74 IPS |
|
|
Object Detection (F32)
|
100% |
217
16.2 IPS |
|
|
Object Detection (F16)
|
100% |
216
16.1 IPS |
|
|
Object Detection (I8)
|
61% |
633
47.3 IPS |
|
|
Face Detection (F32)
|
100% |
562
6.68 IPS |
|
|
Face Detection (F16)
|
100% |
561
6.68 IPS |
|
|
Face Detection (I8)
|
86% |
1382
16.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
462
3.58 IPS |
|
|
Depth Estimation (F16)
|
100% |
462
3.59 IPS |
|
|
Depth Estimation (I8)
|
95% |
1414
11.0 IPS |
|
|
Style Transfer (F32)
|
100% |
802
1.05 IPS |
|
|
Style Transfer (F16)
|
100% |
801
1.05 IPS |
|
|
Style Transfer (I8)
|
98% |
2243
2.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
241
8.62 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
242
8.64 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
886
31.6 IPS |
|
|
Text Classification (F32)
|
100% |
288
413.3 IPS |
|
|
Text Classification (F16)
|
100% |
288
413.4 IPS |
|
|
Text Classification (I8)
|
92% |
519
745.2 IPS |
|
|
Machine Translation (F32)
|
100% |
499
9.19 IPS |
|
|
Machine Translation (F16)
|
100% |
499
9.18 IPS |
|
|
Machine Translation (I8)
|
64% |
632
11.6 IPS |
