samsung SM-S938Q
Geekbench AI Score
1339
Single Precision Score
2355
Half Precision Score
2307
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mamiyoshi |
| Upload Date | April 28 2025 01:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938Q |
| Model ID | samsung SM-S938Q |
| 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% |
726
135.0 IPS |
|
|
Image Classification (HP)
|
100% |
2080
386.9 IPS |
|
|
Image Classification (Q)
|
99% |
1930
360.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1935
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1681
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2975
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2970
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (HP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (Q)
|
86% |
1055
84.7 IPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (Q)
|
97% |
3778
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1697
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5014
38.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
4069
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6297
8.09 IPS |
|
|
Style Transfer (HP)
|
100% |
13473
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13432
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
683
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2308
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2255
83.6 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.5 IPS |
|
|
Text Classification (HP)
|
100% |
666
888.6 IPS |
|
|
Text Classification (Q)
|
91% |
1084
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
57% |
726
17.7 IPS |
