samsung SM-S938U1
Geekbench AI Score
1236
Single Precision Score
2003
Half Precision Score
1866
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 12:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
676
125.7 IPS |
|
|
Image Classification (HP)
|
100% |
709
131.9 IPS |
|
|
Image Classification (Q)
|
99% |
624
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1190
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1706
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2977
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2802
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (Q)
|
86% |
1105
88.8 IPS |
|
|
Face Detection (SP)
|
100% |
2768
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
3474
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
3529
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1653
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4907
37.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3978
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5396
6.94 IPS |
|
|
Style Transfer (HP)
|
100% |
11387
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
11246
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
635
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2042
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1964
72.8 IPS |
|
|
Text Classification (SP)
|
100% |
663
884.3 IPS |
|
|
Text Classification (HP)
|
100% |
669
893.6 IPS |
|
|
Text Classification (Q)
|
91% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
57% |
682
16.7 IPS |
