Samsung Galaxy S23 Ultra (SM-S918U) samsung SM-S918U
Geekbench ML Score
572
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | vadimpaj |
| Upload Date | October 26 2023 06:02 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S918U |
| Model ID | samsung SM-S918U |
| 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 | 6.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
587
62.9 IPS |
|
|
Image Classification (F16)
|
100% |
589
63.1 IPS |
|
|
Image Classification (I8)
|
81% |
221
23.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
908
5.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
905
5.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
1088
6.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
348
1.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
357
1.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
290
1.17 IPS |
|
|
Object Detection (F32)
|
100% |
528
18.5 IPS |
|
|
Object Detection (F16)
|
100% |
542
19.0 IPS |
|
|
Object Detection (I8)
|
52% |
391
13.7 IPS |
|
|
Face Detection (F32)
|
100% |
867
9.96 IPS |
|
|
Face Detection (F16)
|
100% |
897
10.3 IPS |
|
|
Face Detection (I8)
|
75% |
678
7.78 IPS |
|
|
Text Classification (F32)
|
100% |
367
145.2 IPS |
|
|
Text Classification (F16)
|
100% |
407
161.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1079
166.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1080
166.4 IPS |
