samsung SM-S938U1
Geekbench AI Score
3004
Single Precision Score
2968
Half Precision Score
5419
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 12:41 PM |
| Views | 3 |
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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
1879
349.4 IPS |
|
|
Image Classification (Q)
|
100% |
4599
855.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5552
90.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5913
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
5819
6.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
14663
17.4 IPS |
|
|
Object Detection (SP)
|
98% |
1812
144.2 IPS |
|
|
Object Detection (HP)
|
98% |
1818
144.7 IPS |
|
|
Object Detection (Q)
|
83% |
4217
340.6 IPS |
|
|
Face Detection (SP)
|
100% |
4641
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
4646
55.2 IPS |
|
|
Face Detection (Q)
|
95% |
10088
120.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4982
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4935
38.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
11207
102.6 IPS |
|
|
Style Transfer (SP)
|
89% |
12468
16.2 IPS |
|
|
Style Transfer (HP)
|
89% |
12243
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26751
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2578
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2566
94.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7041
260.9 IPS |
|
|
Text Classification (SP)
|
100% |
1037
1.38 KIPS |
|
|
Text Classification (HP)
|
99% |
1045
1.40 KIPS |
|
|
Text Classification (Q)
|
88% |
1097
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
593
21.1 IPS |
