Samsung Galaxy S21 5G
Geekbench ML Score
651
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 26 2024 05:36 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991W |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
389
72.8 IPS |
|
|
Image Classification (F16)
|
100% |
358
67.0 IPS |
|
|
Image Classification (I8)
|
97% |
373
69.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
645
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
763
12.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
749
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
715
0.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
378
0.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
375
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
238
17.8 IPS |
|
|
Object Detection (F16)
|
100% |
229
17.1 IPS |
|
|
Object Detection (I8)
|
62% |
224
16.7 IPS |
|
|
Face Detection (F32)
|
100% |
1426
17.0 IPS |
|
|
Face Detection (F16)
|
97% |
1623
19.3 IPS |
|
|
Face Detection (I8)
|
87% |
1548
18.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1010
7.83 IPS |
|
|
Depth Estimation (F16)
|
100% |
1304
10.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1288
9.99 IPS |
|
|
Style Transfer (F32)
|
100% |
2073
2.73 IPS |
|
|
Style Transfer (F16)
|
100% |
3747
4.93 IPS |
|
|
Style Transfer (I8)
|
98% |
3751
4.93 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
384
13.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
519
18.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
528
18.8 IPS |
|
|
Text Classification (F32)
|
100% |
290
416.1 IPS |
|
|
Text Classification (F16)
|
100% |
320
460.4 IPS |
|
|
Text Classification (I8)
|
92% |
509
731.4 IPS |
|
|
Machine Translation (F32)
|
100% |
466
8.58 IPS |
|
|
Machine Translation (F16)
|
100% |
454
8.36 IPS |
|
|
Machine Translation (I8)
|
64% |
586
10.8 IPS |
