samsung SM-S938U1
Geekbench AI Score
498
Single Precision Score
25695
Half Precision Score
57637
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 06:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
448
83.4 IPS |
|
|
Image Classification (HP)
|
100% |
21332
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
50247
9.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
13746
222.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
41697
678.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
601
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
110756
129.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
431628
505.2 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
16900
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
19954
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
650
7.73 IPS |
|
|
Face Detection (HP)
|
100% |
37419
444.6 IPS |
|
|
Face Detection (Q)
|
97% |
124324
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
576
4.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
76723
591.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
132008
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
1014
1.30 IPS |
|
|
Style Transfer (HP)
|
98% |
90671
116.9 IPS |
|
|
Style Transfer (Q)
|
98% |
452499
583.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51991
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
128602
4.77 KIPS |
|
|
Text Classification (SP)
|
100% |
363
484.4 IPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
8016
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4331
74.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2929
75.4 IPS |
