samsung SM-S938U1
Geekbench AI Score
1325
Single Precision Score
2062
Half Precision Score
2084
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 05:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
716
133.1 IPS |
|
|
Image Classification (HP)
|
100% |
737
137.0 IPS |
|
|
Image Classification (Q)
|
99% |
635
118.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1755
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1728
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2977
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2971
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
1051
83.4 IPS |
|
|
Object Detection (Q)
|
86% |
1152
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3468
41.2 IPS |
|
|
Face Detection (Q)
|
97% |
3773
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1686
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4952
38.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
4083
38.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6249
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
13396
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13325
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2287
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2244
83.1 IPS |
|
|
Text Classification (SP)
|
100% |
694
926.4 IPS |
|
|
Text Classification (HP)
|
100% |
708
945.1 IPS |
|
|
Text Classification (Q)
|
91% |
1122
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
57% |
787
19.2 IPS |
