Samsung Galaxy S20+
Geekbench ML Score
420
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 01 2025 09:39 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20+ |
| Model ID | samsung SM-G985F |
| Motherboard | exynos990 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
248
46.3 IPS |
|
|
Image Classification (F16)
|
100% |
219
41.0 IPS |
|
|
Image Classification (I8)
|
97% |
537
100.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
247
4.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
245
4.10 IPS |
|
|
Image Segmentation (I8)
|
98% |
329
5.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
498
0.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
480
0.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
2097
2.54 IPS |
|
|
Object Detection (F32)
|
100% |
162
12.1 IPS |
|
|
Object Detection (F16)
|
100% |
163
12.2 IPS |
|
|
Object Detection (I8)
|
61% |
313
23.3 IPS |
|
|
Face Detection (F32)
|
100% |
409
4.86 IPS |
|
|
Face Detection (F16)
|
100% |
398
4.73 IPS |
|
|
Face Detection (I8)
|
86% |
547
6.50 IPS |
|
|
Depth Estimation (F32)
|
100% |
392
3.04 IPS |
|
|
Depth Estimation (F16)
|
100% |
390
3.03 IPS |
|
|
Depth Estimation (I8)
|
95% |
664
5.15 IPS |
|
|
Style Transfer (F32)
|
100% |
885
1.16 IPS |
|
|
Style Transfer (F16)
|
100% |
896
1.18 IPS |
|
|
Style Transfer (I8)
|
98% |
2258
2.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
310
11.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
314
11.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1113
39.7 IPS |
|
|
Text Classification (F32)
|
100% |
299
429.3 IPS |
|
|
Text Classification (F16)
|
100% |
271
389.8 IPS |
|
|
Text Classification (I8)
|
92% |
508
729.7 IPS |
|
|
Machine Translation (F32)
|
100% |
447
8.23 IPS |
|
|
Machine Translation (F16)
|
100% |
432
7.95 IPS |
|
|
Machine Translation (I8)
|
64% |
159
2.93 IPS |
