samsung SM-S938B
Geekbench AI Score
574
Single Precision Score
568
Half Precision Score
1209
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 28 2025 10:27 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% |
377
70.1 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (Q)
|
99% |
1107
206.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
553
8.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1120
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
728
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
719
0.84 IPS |
|
|
Pose Estimation (Q)
|
98% |
2672
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (Q)
|
87% |
810
65.0 IPS |
|
|
Face Detection (SP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (HP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
1973
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
845
6.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
773
5.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
1344
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1347
1.73 IPS |
|
|
Style Transfer (HP)
|
100% |
1102
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2859
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1108
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
400
534.3 IPS |
|
|
Text Classification (HP)
|
100% |
401
535.2 IPS |
|
|
Text Classification (Q)
|
91% |
617
828.8 IPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
480
11.7 IPS |
