samsung SM-S938U1
Geekbench AI Score
723
Single Precision Score
716
Half Precision Score
1623
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 06:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
451
83.9 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.8 IPS |
|
|
Image Classification (Q)
|
99% |
1139
212.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1157
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
773
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
2978
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
87% |
1136
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
2550
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
933
7.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
923
7.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
1988
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1583
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
1485
1.91 IPS |
|
|
Style Transfer (Q)
|
98% |
4368
5.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1749
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
631
841.8 IPS |
|
|
Text Classification (HP)
|
100% |
631
842.3 IPS |
|
|
Text Classification (Q)
|
91% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
57% |
761
18.6 IPS |
