samsung SM-S938U1
Geekbench AI Score
709
Single Precision Score
707
Half Precision Score
1564
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | CharlesDorer |
| Upload Date | April 19 2025 03:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
443
82.3 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.9 IPS |
|
|
Image Classification (Q)
|
99% |
1113
207.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
566
9.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1129
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
749
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
727
0.85 IPS |
|
|
Pose Estimation (Q)
|
98% |
2888
3.38 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.5 IPS |
|
|
Object Detection (Q)
|
87% |
1130
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
2466
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
889
6.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
895
6.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
2088
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1550
1.99 IPS |
|
|
Style Transfer (HP)
|
100% |
1560
2.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3992
5.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
486
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1601
59.3 IPS |
|
|
Text Classification (SP)
|
100% |
629
839.7 IPS |
|
|
Text Classification (HP)
|
100% |
629
839.7 IPS |
|
|
Text Classification (Q)
|
91% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.5 IPS |
|
|
Machine Translation (Q)
|
57% |
670
16.4 IPS |
