samsung SM-S938U1
Geekbench AI Score
2992
Single Precision Score
2994
Half Precision Score
5379
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 04:02 PM |
| 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% |
2073
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
2095
389.7 IPS |
|
|
Image Classification (Q)
|
100% |
4712
876.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2623
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2569
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5427
88.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5835
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5699
6.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
14375
17.0 IPS |
|
|
Object Detection (SP)
|
98% |
1805
143.6 IPS |
|
|
Object Detection (HP)
|
98% |
1829
145.6 IPS |
|
|
Object Detection (Q)
|
83% |
4213
340.3 IPS |
|
|
Face Detection (SP)
|
100% |
4707
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
4705
55.9 IPS |
|
|
Face Detection (Q)
|
95% |
10427
124.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4810
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4918
38.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
11255
103.1 IPS |
|
|
Style Transfer (SP)
|
89% |
12134
15.8 IPS |
|
|
Style Transfer (HP)
|
89% |
12261
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26515
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2572
95.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2566
94.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6907
255.9 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
1003
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1007
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1430
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1413
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
606
21.5 IPS |
