samsung SM-S938U1
Geekbench AI Score
701
Single Precision Score
27630
Half Precision Score
62493
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 06:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
478
88.9 IPS |
|
|
Image Classification (HP)
|
100% |
21501
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
49618
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
13704
222.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
42434
690.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
782
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
123233
143.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
479634
561.4 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (HP)
|
100% |
19869
1.58 KIPS |
|
|
Object Detection (Q)
|
85% |
22886
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
44319
526.6 IPS |
|
|
Face Detection (Q)
|
97% |
154467
1.84 KIPS |
|
|
Depth Estimation (SP)
|
100% |
881
6.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
84209
648.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
147215
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1591
2.05 IPS |
|
|
Style Transfer (HP)
|
98% |
98906
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
492834
635.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53338
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134437
4.98 KIPS |
|
|
Text Classification (SP)
|
100% |
498
664.3 IPS |
|
|
Text Classification (HP)
|
100% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
7996
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4681
80.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3263
84.1 IPS |
