Samsung Galaxy S23
Geekbench ML Score
914
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 26 2025 07:24 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S9110 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.89 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
660
123.5 IPS |
|
|
Image Classification (F16)
|
100% |
857
160.3 IPS |
|
|
Image Classification (I8)
|
99% |
816
152.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
857
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1154
19.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1044
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
690
0.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
1115
1.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
1033
1.25 IPS |
|
|
Object Detection (F32)
|
100% |
335
25.0 IPS |
|
|
Object Detection (F16)
|
100% |
393
29.3 IPS |
|
|
Object Detection (I8)
|
62% |
411
30.7 IPS |
|
|
Face Detection (F32)
|
100% |
1785
21.2 IPS |
|
|
Face Detection (F16)
|
97% |
2800
33.3 IPS |
|
|
Face Detection (I8)
|
86% |
2590
30.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1140
8.84 IPS |
|
|
Depth Estimation (F16)
|
100% |
2101
16.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
2133
16.5 IPS |
|
|
Style Transfer (F32)
|
100% |
2810
3.70 IPS |
|
|
Style Transfer (F16)
|
100% |
6545
8.61 IPS |
|
|
Style Transfer (I8)
|
98% |
6505
8.56 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
348
12.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
203
7.25 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
227
8.12 IPS |
|
|
Text Classification (F32)
|
100% |
408
585.9 IPS |
|
|
Text Classification (F16)
|
100% |
406
584.2 IPS |
|
|
Text Classification (I8)
|
92% |
635
913.2 IPS |
|
|
Machine Translation (F32)
|
100% |
629
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
605
11.1 IPS |
|
|
Machine Translation (I8)
|
64% |
665
12.2 IPS |
