samsung SM-S938U1
Geekbench AI Score
2993
Single Precision Score
2985
Half Precision Score
5427
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 04:34 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% |
2102
391.0 IPS |
|
|
Image Classification (HP)
|
100% |
2148
399.4 IPS |
|
|
Image Classification (Q)
|
100% |
4734
880.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2616
42.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5537
90.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5864
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5675
6.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
14456
17.1 IPS |
|
|
Object Detection (SP)
|
98% |
1834
145.9 IPS |
|
|
Object Detection (HP)
|
98% |
1778
141.5 IPS |
|
|
Object Detection (Q)
|
83% |
4194
338.8 IPS |
|
|
Face Detection (SP)
|
100% |
4613
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
4608
54.8 IPS |
|
|
Face Detection (Q)
|
95% |
10064
120.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4774
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4897
37.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
11207
102.6 IPS |
|
|
Style Transfer (SP)
|
89% |
12260
15.9 IPS |
|
|
Style Transfer (HP)
|
89% |
12086
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27062
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2519
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6886
255.2 IPS |
|
|
Text Classification (SP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1020
1.36 KIPS |
|
|
Text Classification (Q)
|
88% |
1106
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1428
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1414
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
600
21.3 IPS |
