samsung SM-S938B
Geekbench AI Score
718
Single Precision Score
27618
Half Precision Score
62082
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cracher56 |
| Upload Date | September 04 2025 06:38 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
465
86.4 IPS |
|
|
Image Classification (HP)
|
100% |
21122
3.93 KIPS |
|
|
Image Classification (Q)
|
97% |
49607
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
13718
222.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
42509
691.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
759
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
123441
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
479067
560.7 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
19507
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
22578
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
42676
507.1 IPS |
|
|
Face Detection (Q)
|
97% |
148333
1.77 KIPS |
|
|
Depth Estimation (SP)
|
100% |
926
7.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
84950
654.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
147231
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1588
2.04 IPS |
|
|
Style Transfer (HP)
|
98% |
98962
127.6 IPS |
|
|
Style Transfer (Q)
|
98% |
491994
634.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54861
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134942
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
568
758.8 IPS |
|
|
Text Classification (HP)
|
100% |
3922
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
8025
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4795
82.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3205
82.6 IPS |
