samsung SM-S938B
Geekbench AI Score
1013
Single Precision Score
1903
Half Precision Score
1791
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | riussi |
| Upload Date | February 04 2025 01:25 PM |
| Views | 4 |
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% |
509
94.7 IPS |
|
|
Image Classification (HP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (Q)
|
99% |
935
174.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1825
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1203
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2058
2.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
1949
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (Q)
|
86% |
907
72.9 IPS |
|
|
Face Detection (SP)
|
100% |
2234
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
3388
40.3 IPS |
|
|
Face Detection (Q)
|
97% |
3937
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1222
9.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
3522
27.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2875
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3915
5.03 IPS |
|
|
Style Transfer (HP)
|
100% |
8896
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9356
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1667
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1586
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
666
889.5 IPS |
|
|
Text Classification (HP)
|
100% |
655
873.9 IPS |
|
|
Text Classification (Q)
|
91% |
1049
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (Q)
|
57% |
639
15.6 IPS |
