samsung SM-S938U1
Geekbench AI Score
3007
Single Precision Score
2983
Half Precision Score
5360
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 04:49 PM |
| Views | 4 |
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% |
2090
388.7 IPS |
|
|
Image Classification (HP)
|
100% |
2152
400.2 IPS |
|
|
Image Classification (Q)
|
100% |
4516
839.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5518
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5874
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5743
6.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
14169
16.8 IPS |
|
|
Object Detection (SP)
|
98% |
1809
144.0 IPS |
|
|
Object Detection (HP)
|
98% |
1822
145.0 IPS |
|
|
Object Detection (Q)
|
83% |
4229
341.6 IPS |
|
|
Face Detection (SP)
|
100% |
4668
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
4664
55.4 IPS |
|
|
Face Detection (Q)
|
95% |
10371
123.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4884
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4900
37.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
11115
101.8 IPS |
|
|
Style Transfer (SP)
|
89% |
12244
15.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11982
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25521
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2614
96.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2495
92.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7041
260.9 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1023
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1074
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
590
20.9 IPS |
