samsung SM-S938U1
Geekbench AI Score
650
Single Precision Score
27360
Half Precision Score
61636
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 21 2025 04:29 AM |
| Views | 11 |
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% |
465
86.4 IPS |
|
|
Image Classification (HP)
|
100% |
21633
4.02 KIPS |
|
|
Image Classification (Q)
|
97% |
49632
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
593
9.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
13658
221.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
42450
690.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
756
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
123089
143.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
479542
561.3 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
19213
1.52 KIPS |
|
|
Object Detection (Q)
|
85% |
21881
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
769
9.13 IPS |
|
|
Face Detection (HP)
|
100% |
41191
489.4 IPS |
|
|
Face Detection (Q)
|
97% |
148144
1.77 KIPS |
|
|
Depth Estimation (SP)
|
100% |
829
6.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
84232
649.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
145629
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
1418
1.82 IPS |
|
|
Style Transfer (HP)
|
98% |
98885
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
491985
634.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53715
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134639
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
497
663.3 IPS |
|
|
Text Classification (HP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
7983
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4678
80.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3138
80.8 IPS |
