samsung SM-S938U1
Geekbench AI Score
638
Single Precision Score
637
Half Precision Score
1368
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jeradhill |
| Upload Date | September 03 2025 03:23 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% |
417
77.6 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
99% |
1056
197.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
516
8.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
1066
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
695
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
665
0.78 IPS |
|
|
Pose Estimation (Q)
|
98% |
2261
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
87% |
947
76.0 IPS |
|
|
Face Detection (SP)
|
100% |
916
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
869
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
1973
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
755
5.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
696
5.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
1539
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1339
1.72 IPS |
|
|
Style Transfer (HP)
|
100% |
1236
1.59 IPS |
|
|
Style Transfer (Q)
|
98% |
2845
3.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
356
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1749
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
629
839.3 IPS |
|
|
Text Classification (HP)
|
100% |
630
840.6 IPS |
|
|
Text Classification (Q)
|
91% |
969
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (Q)
|
57% |
655
16.0 IPS |
