samsung SM-S938B
Geekbench AI Score
460
Single Precision Score
427
Half Precision Score
939
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 07:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
431
80.2 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.7 IPS |
|
|
Image Classification (Q)
|
99% |
1005
187.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
439
7.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
843
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
1693
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
87% |
640
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
635
7.54 IPS |
|
|
Face Detection (HP)
|
100% |
563
6.69 IPS |
|
|
Face Detection (Q)
|
97% |
1237
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
493
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
493
3.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1200
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1017
1.31 IPS |
|
|
Style Transfer (HP)
|
100% |
898
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2300
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
248
9.17 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
886
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
321
428.3 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.8 IPS |
|
|
Text Classification (Q)
|
91% |
493
662.2 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
57% |
392
9.58 IPS |
