samsung SM-S938U1
Geekbench AI Score
3053
Single Precision Score
2996
Half Precision Score
5415
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 01:59 PM |
| Views | 2 |
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% |
2248
418.0 IPS |
|
|
Image Classification (HP)
|
100% |
2125
395.2 IPS |
|
|
Image Classification (Q)
|
100% |
4724
878.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2652
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2584
41.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5595
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6014
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5790
6.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
14752
17.5 IPS |
|
|
Object Detection (SP)
|
98% |
1865
148.4 IPS |
|
|
Object Detection (HP)
|
98% |
1847
147.0 IPS |
|
|
Object Detection (Q)
|
83% |
4177
337.4 IPS |
|
|
Face Detection (SP)
|
100% |
4715
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
4659
55.4 IPS |
|
|
Face Detection (Q)
|
95% |
10230
122.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4944
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4840
37.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
11366
104.1 IPS |
|
|
Style Transfer (SP)
|
89% |
12168
15.8 IPS |
|
|
Style Transfer (HP)
|
89% |
12257
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26160
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2563
94.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2526
93.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6673
247.3 IPS |
|
|
Text Classification (SP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1084
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
605
21.5 IPS |
