Samsung Galaxy S23 Ultra
Geekbench ML Score
622
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 23 2024 01:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918U1 |
| 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 | 10.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
288
54.0 IPS |
|
|
Image Classification (F16)
|
100% |
284
53.2 IPS |
|
|
Image Classification (I8)
|
97% |
709
132.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
347
5.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
346
5.78 IPS |
|
|
Image Segmentation (I8)
|
98% |
713
11.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
483
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
476
0.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
1991
2.41 IPS |
|
|
Object Detection (F32)
|
100% |
299
22.3 IPS |
|
|
Object Detection (F16)
|
100% |
293
21.9 IPS |
|
|
Object Detection (I8)
|
61% |
813
60.7 IPS |
|
|
Face Detection (F32)
|
100% |
676
8.03 IPS |
|
|
Face Detection (F16)
|
100% |
683
8.12 IPS |
|
|
Face Detection (I8)
|
86% |
1499
17.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
596
4.62 IPS |
|
|
Depth Estimation (F16)
|
100% |
598
4.64 IPS |
|
|
Depth Estimation (I8)
|
95% |
1707
13.2 IPS |
|
|
Style Transfer (F32)
|
100% |
946
1.24 IPS |
|
|
Style Transfer (F16)
|
100% |
947
1.25 IPS |
|
|
Style Transfer (I8)
|
98% |
2406
3.16 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
344
12.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
333
11.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1199
42.8 IPS |
|
|
Text Classification (F32)
|
100% |
421
605.6 IPS |
|
|
Text Classification (F16)
|
100% |
415
596.2 IPS |
|
|
Text Classification (I8)
|
92% |
658
945.8 IPS |
|
|
Machine Translation (F32)
|
100% |
655
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
638
11.7 IPS |
|
|
Machine Translation (I8)
|
64% |
699
12.9 IPS |
