samsung SM-S938U1
Geekbench AI Score
718
Single Precision Score
702
Half Precision Score
1586
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 11:39 PM |
| Views | 7 |
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% |
457
84.9 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.7 IPS |
|
|
Image Classification (Q)
|
99% |
1132
211.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1162
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (Q)
|
98% |
2908
3.40 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
87% |
1089
87.3 IPS |
|
|
Face Detection (SP)
|
100% |
1031
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1031
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
2420
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
925
7.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
929
7.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
2167
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1500
1.93 IPS |
|
|
Style Transfer (HP)
|
100% |
1498
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
4028
5.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1750
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
630
840.9 IPS |
|
|
Text Classification (HP)
|
100% |
631
842.7 IPS |
|
|
Text Classification (Q)
|
91% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (Q)
|
57% |
677
16.5 IPS |
