samsung SM-S938B
Geekbench AI Score
2487
Single Precision Score
2711
Half Precision Score
3741
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ManuCH |
| Upload Date | May 10 2025 04:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1774
329.9 IPS |
|
|
Image Classification (HP)
|
100% |
1777
330.4 IPS |
|
|
Image Classification (Q)
|
100% |
1687
313.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2226
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2156
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2623
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
5358
6.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
14158
16.8 IPS |
|
|
Object Detection (SP)
|
98% |
1636
130.2 IPS |
|
|
Object Detection (HP)
|
98% |
1601
127.4 IPS |
|
|
Object Detection (Q)
|
83% |
2445
197.5 IPS |
|
|
Face Detection (SP)
|
100% |
4419
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
4424
52.6 IPS |
|
|
Face Detection (Q)
|
95% |
8918
106.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4586
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4537
35.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
9892
90.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11652
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11646
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23569
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2220
82.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5229
193.8 IPS |
|
|
Text Classification (SP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
919
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
731
986.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
537
19.1 IPS |
