samsung SM-S938U1
Geekbench AI Score
2982
Single Precision Score
3001
Half Precision Score
5344
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 01:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U1 |
| Model ID | samsung SM-S938U1 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
1974
367.0 IPS |
|
|
Image Classification (Q)
|
100% |
4391
816.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2547
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2563
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5429
88.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5968
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
5836
6.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
14408
17.1 IPS |
|
|
Object Detection (SP)
|
98% |
1767
140.6 IPS |
|
|
Object Detection (HP)
|
98% |
1854
147.5 IPS |
|
|
Object Detection (Q)
|
83% |
4213
340.3 IPS |
|
|
Face Detection (SP)
|
100% |
4639
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
4707
55.9 IPS |
|
|
Face Detection (Q)
|
95% |
10113
120.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4913
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4968
38.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
11223
102.8 IPS |
|
|
Style Transfer (SP)
|
89% |
12263
15.9 IPS |
|
|
Style Transfer (HP)
|
89% |
12222
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26814
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2602
96.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2601
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6818
252.7 IPS |
|
|
Text Classification (SP)
|
100% |
993
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
1017
1.36 KIPS |
|
|
Text Classification (Q)
|
88% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1433
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
585
20.8 IPS |
