samsung SM-S938B
Geekbench AI Score
2747
Single Precision Score
2762
Half Precision Score
4962
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 11:44 AM |
| Views | 3 |
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% |
1821
338.6 IPS |
|
|
Image Classification (HP)
|
100% |
1953
363.3 IPS |
|
|
Image Classification (Q)
|
100% |
4435
824.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5225
85.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5417
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5141
6.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
12000
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1659
132.0 IPS |
|
|
Object Detection (HP)
|
98% |
1694
134.8 IPS |
|
|
Object Detection (Q)
|
83% |
3914
316.2 IPS |
|
|
Face Detection (SP)
|
100% |
4443
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (Q)
|
95% |
9516
113.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4536
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4579
35.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
10099
92.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11476
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11310
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23944
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2367
87.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6449
239.0 IPS |
|
|
Text Classification (SP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
938
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
1002
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
560
19.9 IPS |
