samsung SM-S938U
Geekbench AI Score
2627
Single Precision Score
2781
Half Precision Score
4850
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 31 2025 01:22 AM |
| Views | 2 |
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% |
1853
344.7 IPS |
|
|
Image Classification (HP)
|
100% |
1940
360.8 IPS |
|
|
Image Classification (Q)
|
100% |
4592
854.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2452
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5580
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5561
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5434
6.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
13350
15.8 IPS |
|
|
Object Detection (SP)
|
98% |
1603
127.6 IPS |
|
|
Object Detection (HP)
|
98% |
1806
143.7 IPS |
|
|
Object Detection (Q)
|
83% |
4152
335.4 IPS |
|
|
Face Detection (SP)
|
100% |
4328
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
4631
55.0 IPS |
|
|
Face Detection (Q)
|
95% |
9970
119.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4676
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4646
35.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
10938
100.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11553
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11603
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23713
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2058
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4860
180.1 IPS |
|
|
Text Classification (SP)
|
100% |
588
784.9 IPS |
|
|
Text Classification (HP)
|
99% |
884
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
700
944.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
577
20.5 IPS |
