samsung SM-S938U1
Geekbench AI Score
1323
Single Precision Score
2145
Half Precision Score
2051
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 10:18 PM |
| Views | 2 |
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% |
678
126.1 IPS |
|
|
Image Classification (HP)
|
100% |
732
136.1 IPS |
|
|
Image Classification (Q)
|
99% |
705
131.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1489
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1720
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2983
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
2972
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
1265
100.3 IPS |
|
|
Object Detection (Q)
|
86% |
1061
85.2 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (Q)
|
97% |
3728
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1676
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4981
38.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
4093
38.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6288
8.08 IPS |
|
|
Style Transfer (HP)
|
100% |
13531
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13378
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
661
24.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2283
84.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2247
83.3 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.8 IPS |
|
|
Text Classification (HP)
|
100% |
709
946.3 IPS |
|
|
Text Classification (Q)
|
91% |
1101
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (Q)
|
57% |
790
19.3 IPS |
