samsung SM-S938W
Geekbench AI Score
1235
Single Precision Score
2007
Half Precision Score
2207
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mystline |
| Upload Date | January 31 2025 08:25 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938W |
| Model ID | samsung SM-S938W |
| 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% |
724
134.6 IPS |
|
|
Image Classification (HP)
|
100% |
827
153.9 IPS |
|
|
Image Classification (Q)
|
99% |
1752
326.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2561
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1641
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2471
2.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
2463
2.89 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.0 IPS |
|
|
Object Detection (HP)
|
100% |
1191
94.5 IPS |
|
|
Object Detection (Q)
|
86% |
1157
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
2779
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
4088
48.6 IPS |
|
|
Face Detection (Q)
|
97% |
4396
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1484
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4064
31.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3450
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5094
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
10784
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10816
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1909
70.7 IPS |
|
|
Text Classification (SP)
|
100% |
655
874.5 IPS |
|
|
Text Classification (HP)
|
100% |
648
865.2 IPS |
|
|
Text Classification (Q)
|
91% |
1035
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
984
17.0 IPS |
|
|
Machine Translation (Q)
|
57% |
663
16.2 IPS |
