samsung SM-S938U
Geekbench AI Score
478
Single Precision Score
26566
Half Precision Score
58671
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dgbrownnt |
| Upload Date | April 16 2025 03:45 AM |
| Views | 11 |
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% |
455
84.7 IPS |
|
|
Image Classification (HP)
|
100% |
21448
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
49428
9.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
13678
221.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
42533
691.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
704
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
123476
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
477422
558.8 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
18756
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
21581
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
568
6.75 IPS |
|
|
Face Detection (HP)
|
100% |
38586
458.5 IPS |
|
|
Face Detection (Q)
|
97% |
123855
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
80855
622.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
135466
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
911
1.17 IPS |
|
|
Style Transfer (HP)
|
98% |
98170
126.6 IPS |
|
|
Style Transfer (Q)
|
98% |
488502
629.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51669
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124423
4.61 KIPS |
|
|
Text Classification (SP)
|
100% |
315
420.3 IPS |
|
|
Text Classification (HP)
|
100% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
7752
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (HP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2823
72.7 IPS |
