samsung SM-G7810
Geekbench ML Score
430
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 26 2024 05:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-G7810 |
| Model ID | samsung SM-G7810 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
434
46.5 IPS |
|
|
Image Classification (F16)
|
100% |
437
46.9 IPS |
|
|
Image Classification (I8)
|
81% |
195
20.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
640
3.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
608
3.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
823
5.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
271
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
272
1.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
237
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
454
15.9 IPS |
|
|
Object Detection (F16)
|
100% |
456
16.0 IPS |
|
|
Object Detection (I8)
|
52% |
343
12.0 IPS |
|
|
Face Detection (F32)
|
100% |
609
6.99 IPS |
|
|
Face Detection (F16)
|
100% |
622
7.14 IPS |
|
|
Face Detection (I8)
|
75% |
538
6.18 IPS |
|
|
Text Classification (F32)
|
100% |
355
140.3 IPS |
|
|
Text Classification (F16)
|
100% |
353
139.5 IPS |
|
|
Machine Translation (F32)
|
100% |
550
84.7 IPS |
|
|
Machine Translation (F16)
|
100% |
544
83.8 IPS |
