samsung SM-S938U1
Geekbench AI Score
3003
Single Precision Score
2998
Half Precision Score
5435
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 04:12 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% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
2160
401.6 IPS |
|
|
Image Classification (Q)
|
100% |
4707
875.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2592
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5480
89.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5941
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
5793
6.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
14479
17.2 IPS |
|
|
Object Detection (SP)
|
98% |
1843
146.7 IPS |
|
|
Object Detection (HP)
|
98% |
1834
145.9 IPS |
|
|
Object Detection (Q)
|
83% |
4229
341.6 IPS |
|
|
Face Detection (SP)
|
100% |
4661
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
4675
55.5 IPS |
|
|
Face Detection (Q)
|
95% |
10529
125.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4902
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4851
37.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
11372
104.2 IPS |
|
|
Style Transfer (SP)
|
89% |
12273
15.9 IPS |
|
|
Style Transfer (HP)
|
89% |
12236
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27087
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2594
95.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2569
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7020
260.1 IPS |
|
|
Text Classification (SP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
1006
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1084
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1438
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
577
20.5 IPS |
