samsung SM-S938B
Geekbench AI Score
2701
Single Precision Score
2606
Half Precision Score
4297
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Seby_sl7 |
| Upload Date | March 18 2025 08:04 PM |
| Views | 11 |
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% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
1949
362.5 IPS |
|
|
Image Classification (Q)
|
100% |
4368
812.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3398
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5270
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5550
6.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
14036
16.6 IPS |
|
|
Object Detection (SP)
|
98% |
1759
140.0 IPS |
|
|
Object Detection (HP)
|
98% |
1667
132.6 IPS |
|
|
Object Detection (Q)
|
83% |
3873
312.9 IPS |
|
|
Face Detection (SP)
|
100% |
4505
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
4527
53.8 IPS |
|
|
Face Detection (Q)
|
95% |
9571
114.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4744
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4753
36.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
11046
101.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11601
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11407
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24167
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3562
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
576
769.5 IPS |
|
|
Text Classification (Q)
|
88% |
588
792.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
498
17.7 IPS |
