samsung SM-S938U1
Geekbench AI Score
592
Single Precision Score
588
Half Precision Score
1299
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 12:01 AM |
| 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% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (Q)
|
99% |
1078
201.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
558
9.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1099
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
600
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
558
0.65 IPS |
|
|
Pose Estimation (Q)
|
98% |
1998
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
87% |
953
76.4 IPS |
|
|
Face Detection (SP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
1813
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
706
5.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
703
5.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
1575
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1211
1.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1102
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
3081
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1400
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
502
669.5 IPS |
|
|
Text Classification (HP)
|
100% |
505
673.6 IPS |
|
|
Text Classification (Q)
|
91% |
776
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
57% |
639
15.6 IPS |
