samsung SM-S936U1
Geekbench ML Score
950
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 29 2025 03:24 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S936U1 |
| Model ID | samsung SM-S936U1 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
426
79.6 IPS |
|
|
Image Classification (F16)
|
100% |
415
77.7 IPS |
|
|
Image Classification (I8)
|
97% |
1085
203.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
537
8.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
533
8.91 IPS |
|
|
Image Segmentation (I8)
|
98% |
1089
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
739
0.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
723
0.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
2909
3.52 IPS |
|
|
Object Detection (F32)
|
100% |
421
31.4 IPS |
|
|
Object Detection (F16)
|
100% |
422
31.5 IPS |
|
|
Object Detection (I8)
|
61% |
1101
82.2 IPS |
|
|
Face Detection (F32)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (I8)
|
86% |
2426
28.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
918
7.12 IPS |
|
|
Depth Estimation (F16)
|
100% |
937
7.27 IPS |
|
|
Depth Estimation (I8)
|
95% |
2654
20.6 IPS |
|
|
Style Transfer (F32)
|
100% |
1587
2.09 IPS |
|
|
Style Transfer (F16)
|
100% |
1571
2.07 IPS |
|
|
Style Transfer (I8)
|
98% |
4439
5.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
528
18.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
514
18.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1814
64.8 IPS |
|
|
Text Classification (F32)
|
100% |
584
839.5 IPS |
|
|
Text Classification (F16)
|
100% |
584
839.6 IPS |
|
|
Text Classification (I8)
|
92% |
907
1.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1020
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1071
19.7 IPS |
|
|
Machine Translation (I8)
|
64% |
1083
19.9 IPS |
