samsung SM-S938B
Geekbench AI Score
1730
Single Precision Score
1516
Half Precision Score
2914
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 02:53 AM |
| 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% |
1659
308.5 IPS |
|
|
Image Classification (HP)
|
100% |
1273
236.8 IPS |
|
|
Image Classification (Q)
|
100% |
2829
526.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1681
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4607
74.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4320
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3424
4.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
11312
13.4 IPS |
|
|
Object Detection (SP)
|
98% |
780
62.1 IPS |
|
|
Object Detection (HP)
|
98% |
768
61.1 IPS |
|
|
Object Detection (Q)
|
83% |
1953
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
2207
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2134
25.4 IPS |
|
|
Face Detection (Q)
|
95% |
4755
56.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2043
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1999
15.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5099
46.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9438
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
6600
8.57 IPS |
|
|
Style Transfer (Q)
|
98% |
12967
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1092
40.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3254
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
503
671.9 IPS |
|
|
Text Classification (HP)
|
99% |
479
639.2 IPS |
|
|
Text Classification (Q)
|
88% |
517
697.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
290
10.3 IPS |
