Samsung Galaxy S10
Geekbench ML Score
336
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2022 10:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S10 |
| Model ID | samsung SM-G973U1 |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
272
29.1 IPS |
|
|
Image Classification (F16)
|
100% |
277
29.7 IPS |
|
|
Image Classification (I8)
|
81% |
178
19.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
470
2.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
477
2.95 IPS |
|
|
Image Segmentation (I8)
|
89% |
757
4.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
216
0.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
212
0.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
204
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
313
11.0 IPS |
|
|
Object Detection (F16)
|
100% |
313
11.0 IPS |
|
|
Object Detection (I8)
|
52% |
252
8.83 IPS |
|
|
Face Detection (F32)
|
100% |
513
5.90 IPS |
|
|
Face Detection (F16)
|
100% |
525
6.03 IPS |
|
|
Face Detection (I8)
|
75% |
464
5.34 IPS |
|
|
Text Classification (F32)
|
100% |
288
113.9 IPS |
|
|
Text Classification (F16)
|
100% |
283
111.9 IPS |
|
|
Machine Translation (F32)
|
100% |
436
67.1 IPS |
|
|
Machine Translation (F16)
|
100% |
438
67.5 IPS |
