samsung SM-S938B
Geekbench AI Score
2596
Single Precision Score
2675
Half Precision Score
4300
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | bassiek |
| Upload Date | June 26 2025 10:04 PM |
| Views | 5 |
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% |
1952
363.0 IPS |
|
|
Image Classification (HP)
|
100% |
2050
381.3 IPS |
|
|
Image Classification (Q)
|
100% |
4583
852.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5301
86.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5449
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
5200
6.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
12818
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1709
136.0 IPS |
|
|
Object Detection (HP)
|
98% |
1561
124.2 IPS |
|
|
Object Detection (Q)
|
83% |
1721
139.0 IPS |
|
|
Face Detection (SP)
|
100% |
3866
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (Q)
|
95% |
7312
87.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2655
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4685
36.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10804
99.0 IPS |
|
|
Style Transfer (SP)
|
89% |
12017
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11381
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23884
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2256
83.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2225
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4668
173.0 IPS |
|
|
Text Classification (SP)
|
100% |
835
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
815
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (Q)
|
50% |
563
20.0 IPS |
