samsung SM-S938B
Geekbench AI Score
1313
Single Precision Score
2142
Half Precision Score
2095
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mihun70 |
| Upload Date | February 25 2025 03:43 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938B |
| Model ID | samsung SM-S938B |
| 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% |
723
134.5 IPS |
|
|
Image Classification (HP)
|
100% |
735
136.6 IPS |
|
|
Image Classification (Q)
|
99% |
698
130.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2039
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1716
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2976
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2977
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
1178
93.4 IPS |
|
|
Object Detection (Q)
|
86% |
1145
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (Q)
|
97% |
4056
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1685
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4927
38.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
4082
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6213
7.99 IPS |
|
|
Style Transfer (HP)
|
100% |
13445
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13400
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2194
81.3 IPS |
|
|
Text Classification (SP)
|
100% |
644
859.2 IPS |
|
|
Text Classification (HP)
|
100% |
653
871.8 IPS |
|
|
Text Classification (Q)
|
91% |
1073
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
57% |
644
15.8 IPS |
