samsung SM-S938B
Geekbench AI Score
1359
Single Precision Score
2410
Half Precision Score
2476
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 17 2025 06:12 PM |
| Views | 1 |
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% |
748
139.0 IPS |
|
|
Image Classification (HP)
|
100% |
1228
228.5 IPS |
|
|
Image Classification (Q)
|
99% |
1918
357.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2048
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1660
1.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2951
3.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
2949
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (HP)
|
100% |
1471
116.6 IPS |
|
|
Object Detection (Q)
|
86% |
1470
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
4722
56.1 IPS |
|
|
Face Detection (Q)
|
97% |
4633
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1658
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4929
38.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
4077
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6259
8.05 IPS |
|
|
Style Transfer (HP)
|
100% |
13533
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13410
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
673
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2120
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2288
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
709
947.0 IPS |
|
|
Text Classification (HP)
|
100% |
712
949.7 IPS |
|
|
Text Classification (Q)
|
91% |
1110
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (Q)
|
57% |
791
19.3 IPS |
