samsung SM-S938U1
Geekbench AI Score
3015
Single Precision Score
3005
Half Precision Score
5445
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 03:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U1 |
| Model ID | samsung SM-S938U1 |
| 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% |
2033
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
2090
388.6 IPS |
|
|
Image Classification (Q)
|
100% |
4730
879.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2617
42.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5465
88.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5958
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5772
6.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
14660
17.4 IPS |
|
|
Object Detection (SP)
|
98% |
1813
144.3 IPS |
|
|
Object Detection (HP)
|
98% |
1853
147.4 IPS |
|
|
Object Detection (Q)
|
83% |
4257
343.8 IPS |
|
|
Face Detection (SP)
|
100% |
4727
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
4679
55.6 IPS |
|
|
Face Detection (Q)
|
95% |
10378
123.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4961
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4878
37.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
11252
103.1 IPS |
|
|
Style Transfer (SP)
|
89% |
12209
15.8 IPS |
|
|
Style Transfer (HP)
|
89% |
12060
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26570
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2596
95.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2547
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7044
261.0 IPS |
|
|
Text Classification (SP)
|
100% |
1018
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1023
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1106
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1433
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
588
20.9 IPS |
