samsung SM-S938U1
Geekbench AI Score
651
Single Precision Score
650
Half Precision Score
1403
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 03:26 AM |
| Views | 6 |
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% |
452
84.1 IPS |
|
|
Image Classification (HP)
|
100% |
447
83.2 IPS |
|
|
Image Classification (Q)
|
99% |
1105
206.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
573
9.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
960
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
692
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
692
0.81 IPS |
|
|
Pose Estimation (Q)
|
98% |
2523
2.95 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (Q)
|
87% |
1004
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
956
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
2229
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
857
6.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
812
6.26 IPS |
|
|
Depth Estimation (Q)
|
64% |
1849
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1425
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1344
1.73 IPS |
|
|
Style Transfer (Q)
|
98% |
3294
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1497
55.5 IPS |
|
|
Text Classification (SP)
|
100% |
539
719.2 IPS |
|
|
Text Classification (HP)
|
100% |
539
720.0 IPS |
|
|
Text Classification (Q)
|
91% |
830
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (Q)
|
57% |
655
16.0 IPS |
