samsung SM-S938U
Geekbench AI Score
2724
Single Precision Score
2731
Half Precision Score
4660
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dgbrownnt |
| Upload Date | April 16 2025 02:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U |
| Model ID | samsung SM-S938U |
| 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% |
2154
400.5 IPS |
|
|
Image Classification (HP)
|
100% |
2113
392.9 IPS |
|
|
Image Classification (Q)
|
100% |
4573
850.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2559
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5286
86.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5745
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5255
6.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
13117
15.6 IPS |
|
|
Object Detection (SP)
|
98% |
1658
131.9 IPS |
|
|
Object Detection (HP)
|
98% |
1679
133.6 IPS |
|
|
Object Detection (Q)
|
83% |
3740
302.1 IPS |
|
|
Face Detection (SP)
|
100% |
4368
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4314
51.3 IPS |
|
|
Face Detection (Q)
|
95% |
9975
119.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4503
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4493
34.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
10869
99.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11724
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11711
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23746
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4386
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
733
978.9 IPS |
|
|
Text Classification (HP)
|
99% |
801
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
655
883.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
551
19.6 IPS |
