Samsung Galaxy S23 Ultra (SM-S918U) samsung SM-S918U
Geekbench ML Score
2302
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | vadimpaj |
| Upload Date | October 26 2023 06:04 AM |
| Views | 4 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1933
207.1 IPS |
|
|
Image Classification (F16)
|
100% |
2922
313.1 IPS |
|
|
Image Classification (I8)
|
80% |
2535
271.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5343
33.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
9819
60.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
5403
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1496
6.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
2699
10.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
4616
18.7 IPS |
|
|
Object Detection (F32)
|
100% |
864
30.3 IPS |
|
|
Object Detection (F16)
|
99% |
1104
38.7 IPS |
|
|
Object Detection (I8)
|
53% |
936
32.8 IPS |
|
|
Face Detection (F32)
|
100% |
3917
45.0 IPS |
|
|
Face Detection (F16)
|
97% |
6509
74.8 IPS |
|
|
Face Detection (I8)
|
75% |
5335
61.3 IPS |
|
|
Text Classification (F32)
|
100% |
812
321.3 IPS |
|
|
Text Classification (F16)
|
98% |
931
368.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1051
161.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1041
160.4 IPS |
