samsung SM-S928U1
Geekbench ML Score
2418
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | October 05 2024 10:29 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S928U1 |
| Model ID | samsung SM-S928U1 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1757
188.2 IPS |
|
|
Image Classification (F16)
|
100% |
2674
286.5 IPS |
|
|
Image Classification (I8)
|
80% |
2385
255.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5265
32.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8749
54.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
7565
46.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1792
7.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
3320
13.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
4831
19.5 IPS |
|
|
Object Detection (F32)
|
100% |
1308
45.9 IPS |
|
|
Object Detection (F16)
|
100% |
1577
55.3 IPS |
|
|
Object Detection (I8)
|
53% |
1521
53.4 IPS |
|
|
Face Detection (F32)
|
100% |
4009
46.1 IPS |
|
|
Face Detection (F16)
|
97% |
5912
67.9 IPS |
|
|
Face Detection (I8)
|
75% |
4639
53.3 IPS |
|
|
Text Classification (F32)
|
100% |
649
256.6 IPS |
|
|
Text Classification (F16)
|
98% |
782
309.4 IPS |
|
|
Machine Translation (F32)
|
100% |
996
153.4 IPS |
|
|
Machine Translation (F16)
|
100% |
991
152.7 IPS |
