samsung SM-S938U
Geekbench AI Score
446
Single Precision Score
26165
Half Precision Score
57714
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 10 2025 10:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U |
| Model ID | samsung SM-S938U |
| 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% |
363
67.6 IPS |
|
|
Image Classification (HP)
|
100% |
20832
3.87 KIPS |
|
|
Image Classification (Q)
|
97% |
47558
8.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
13034
211.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
39030
634.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
514
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
122764
143.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
475196
556.2 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
17877
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20568
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
568
6.75 IPS |
|
|
Face Detection (HP)
|
100% |
38017
451.7 IPS |
|
|
Face Detection (Q)
|
97% |
124092
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
561
4.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
78118
601.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
134003
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
1087
1.40 IPS |
|
|
Style Transfer (HP)
|
98% |
98055
126.4 IPS |
|
|
Style Transfer (Q)
|
98% |
487322
628.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
254
9.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51215
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
126801
4.70 KIPS |
|
|
Text Classification (SP)
|
100% |
317
422.8 IPS |
|
|
Text Classification (HP)
|
100% |
3839
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
7768
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (Q)
|
56% |
2832
73.0 IPS |
