Samsung Galaxy S21 5G
Geekbench ML Score
450
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 19 2025 12:38 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991N |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.03 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
63
11.7 IPS |
|
|
Image Classification (F16)
|
100% |
305
57.1 IPS |
|
|
Image Classification (I8)
|
97% |
614
114.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
391
6.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
290
4.84 IPS |
|
|
Image Segmentation (I8)
|
98% |
522
8.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
576
0.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
597
0.72 IPS |
|
|
Pose Estimation (I8)
|
100% |
2720
3.29 IPS |
|
|
Object Detection (F32)
|
100% |
296
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
276
20.6 IPS |
|
|
Object Detection (I8)
|
61% |
234
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
354
4.21 IPS |
|
|
Face Detection (F16)
|
100% |
431
5.13 IPS |
|
|
Face Detection (I8)
|
86% |
629
7.48 IPS |
|
|
Depth Estimation (F32)
|
100% |
465
3.61 IPS |
|
|
Depth Estimation (F16)
|
100% |
456
3.54 IPS |
|
|
Depth Estimation (I8)
|
95% |
746
5.78 IPS |
|
|
Style Transfer (F32)
|
100% |
1089
1.43 IPS |
|
|
Style Transfer (F16)
|
100% |
1095
1.44 IPS |
|
|
Style Transfer (I8)
|
98% |
2452
3.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
368
13.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
353
12.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
711
25.4 IPS |
|
|
Text Classification (F32)
|
100% |
365
525.0 IPS |
|
|
Text Classification (F16)
|
100% |
382
548.7 IPS |
|
|
Text Classification (I8)
|
92% |
272
391.6 IPS |
|
|
Machine Translation (F32)
|
100% |
443
8.15 IPS |
|
|
Machine Translation (F16)
|
100% |
467
8.59 IPS |
|
|
Machine Translation (I8)
|
64% |
100
1.84 IPS |
