samsung SM-S938B
Geekbench AI Score
2894
Single Precision Score
2903
Half Precision Score
5273
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mihun70 |
| Upload Date | February 25 2025 03:47 PM |
| Views | 2 |
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% |
1902
353.6 IPS |
|
|
Image Classification (HP)
|
100% |
1971
366.6 IPS |
|
|
Image Classification (Q)
|
100% |
4615
858.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5353
87.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5748
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
5512
6.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
13627
16.2 IPS |
|
|
Object Detection (SP)
|
98% |
1792
142.6 IPS |
|
|
Object Detection (HP)
|
98% |
1821
144.9 IPS |
|
|
Object Detection (Q)
|
83% |
4029
325.5 IPS |
|
|
Face Detection (SP)
|
100% |
4276
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
4346
51.6 IPS |
|
|
Face Detection (Q)
|
95% |
10295
122.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4707
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4743
36.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
10892
99.8 IPS |
|
|
Style Transfer (SP)
|
89% |
11874
15.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11794
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24742
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2525
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2471
91.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6866
254.4 IPS |
|
|
Text Classification (SP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
1003
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1092
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
590
21.0 IPS |
