samsung SM-S938B
Geekbench AI Score
2456
Single Precision Score
2565
Half Precision Score
3794
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | xDJoelDx |
| Upload Date | February 27 2025 05:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938B |
| Model ID | samsung SM-S938B |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.7 IPS |
|
|
Image Classification (Q)
|
100% |
4396
817.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4892
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5512
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5332
6.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
13369
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1427
113.6 IPS |
|
|
Object Detection (HP)
|
98% |
1295
103.0 IPS |
|
|
Object Detection (Q)
|
83% |
1376
111.1 IPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3366
40.0 IPS |
|
|
Face Detection (Q)
|
95% |
7459
89.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3827
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4540
35.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
9180
84.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11522
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11772
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21509
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4666
172.9 IPS |
|
|
Text Classification (SP)
|
100% |
498
665.1 IPS |
|
|
Text Classification (HP)
|
99% |
805
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
422
569.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
540
19.2 IPS |
