samsung SM-S938U1
Geekbench AI Score
3012
Single Precision Score
2978
Half Precision Score
4943
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 06:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2121
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
2075
385.8 IPS |
|
|
Image Classification (Q)
|
100% |
2326
432.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2566
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4526
73.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6012
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
5769
6.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
14617
17.3 IPS |
|
|
Object Detection (SP)
|
98% |
1796
142.9 IPS |
|
|
Object Detection (HP)
|
98% |
1843
146.7 IPS |
|
|
Object Detection (Q)
|
83% |
4266
344.6 IPS |
|
|
Face Detection (SP)
|
100% |
4679
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
4641
55.1 IPS |
|
|
Face Detection (Q)
|
95% |
10245
122.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4950
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4871
37.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
10926
100.1 IPS |
|
|
Style Transfer (SP)
|
89% |
12250
15.9 IPS |
|
|
Style Transfer (HP)
|
89% |
12026
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26129
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2561
94.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7046
261.1 IPS |
|
|
Text Classification (SP)
|
100% |
1013
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1104
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (Q)
|
50% |
584
20.7 IPS |
