samsung SM-G7810
Geekbench ML Score
424
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 25 2024 09:46 AM |
| 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% |
439
47.0 IPS |
|
|
Image Classification (F16)
|
100% |
435
46.6 IPS |
|
|
Image Classification (I8)
|
81% |
188
20.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
649
4.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
601
3.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
896
5.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
275
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
272
1.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
461
16.2 IPS |
|
|
Object Detection (F16)
|
100% |
462
16.2 IPS |
|
|
Object Detection (I8)
|
52% |
341
12.0 IPS |
|
|
Face Detection (F32)
|
100% |
605
6.95 IPS |
|
|
Face Detection (F16)
|
100% |
674
7.74 IPS |
|
|
Face Detection (I8)
|
75% |
579
6.66 IPS |
|
|
Text Classification (F32)
|
100% |
357
141.1 IPS |
|
|
Text Classification (F16)
|
100% |
201
79.6 IPS |
|
|
Machine Translation (F32)
|
100% |
562
86.6 IPS |
|
|
Machine Translation (F16)
|
100% |
555
85.6 IPS |
