Samsung Galaxy S10
Geekbench ML Score
1088
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2022 10:46 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
767
82.2 IPS |
|
|
Image Classification (F16)
|
100% |
1374
147.2 IPS |
|
|
Image Classification (I8)
|
80% |
1241
132.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1874
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
3549
21.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
3279
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
943
3.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
1665
6.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
1655
6.70 IPS |
|
|
Object Detection (F32)
|
100% |
496
17.4 IPS |
|
|
Object Detection (F16)
|
99% |
532
18.7 IPS |
|
|
Object Detection (I8)
|
53% |
531
18.6 IPS |
|
|
Face Detection (F32)
|
100% |
1567
18.0 IPS |
|
|
Face Detection (F16)
|
97% |
2588
29.7 IPS |
|
|
Face Detection (I8)
|
76% |
2321
26.7 IPS |
|
|
Text Classification (F32)
|
100% |
515
203.7 IPS |
|
|
Text Classification (F16)
|
98% |
531
209.9 IPS |
|
|
Machine Translation (F32)
|
100% |
432
66.6 IPS |
|
|
Machine Translation (F16)
|
100% |
433
66.7 IPS |
