samsung SM-S921U
Geekbench ML Score
574
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 02 2025 09:03 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S921U |
| Model ID | samsung SM-S921U |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 6.95 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
285
53.3 IPS |
|
|
Image Classification (F16)
|
100% |
271
50.8 IPS |
|
|
Image Classification (I8)
|
97% |
744
139.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
322
5.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
320
5.35 IPS |
|
|
Image Segmentation (I8)
|
98% |
701
11.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
473
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
475
0.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
1783
2.16 IPS |
|
|
Object Detection (F32)
|
100% |
294
22.0 IPS |
|
|
Object Detection (F16)
|
100% |
283
21.1 IPS |
|
|
Object Detection (I8)
|
61% |
715
53.4 IPS |
|
|
Face Detection (F32)
|
100% |
654
7.78 IPS |
|
|
Face Detection (F16)
|
100% |
651
7.75 IPS |
|
|
Face Detection (I8)
|
86% |
1519
18.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
569
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
572
4.43 IPS |
|
|
Depth Estimation (I8)
|
95% |
1612
12.5 IPS |
|
|
Style Transfer (F32)
|
100% |
911
1.20 IPS |
|
|
Style Transfer (F16)
|
100% |
852
1.12 IPS |
|
|
Style Transfer (I8)
|
98% |
2003
2.63 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
296
10.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
296
10.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1006
35.9 IPS |
|
|
Text Classification (F32)
|
100% |
328
471.7 IPS |
|
|
Text Classification (F16)
|
100% |
329
472.8 IPS |
|
|
Text Classification (I8)
|
92% |
538
772.8 IPS |
|
|
Machine Translation (F32)
|
100% |
598
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
585
10.8 IPS |
|
|
Machine Translation (I8)
|
64% |
633
11.6 IPS |
