samsung SM-S938B
Geekbench AI Score
2539
Single Precision Score
2623
Half Precision Score
4311
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 01:02 PM |
| Views | 1 |
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% |
1804
335.6 IPS |
|
|
Image Classification (HP)
|
100% |
1966
365.6 IPS |
|
|
Image Classification (Q)
|
100% |
4381
814.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3048
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3504
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
5381
6.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
14080
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1396
111.1 IPS |
|
|
Object Detection (HP)
|
98% |
1468
116.8 IPS |
|
|
Object Detection (Q)
|
83% |
3322
268.4 IPS |
|
|
Face Detection (SP)
|
100% |
4073
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
3881
46.1 IPS |
|
|
Face Detection (Q)
|
95% |
8882
106.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4458
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4755
36.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
10944
100.2 IPS |
|
|
Style Transfer (SP)
|
89% |
12350
16.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10649
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23048
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2007
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1901
70.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4576
169.5 IPS |
|
|
Text Classification (SP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
797
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
595
801.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
583
20.7 IPS |
