samsung SM-S938B
Geekbench AI Score
2904
Single Precision Score
2882
Half Precision Score
5151
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 06 2025 01:14 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% |
2175
404.5 IPS |
|
|
Image Classification (HP)
|
100% |
2100
390.6 IPS |
|
|
Image Classification (Q)
|
100% |
4395
817.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2582
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5618
91.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5609
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5469
6.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
12855
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1722
137.0 IPS |
|
|
Object Detection (HP)
|
98% |
1748
139.1 IPS |
|
|
Object Detection (Q)
|
83% |
4030
325.5 IPS |
|
|
Face Detection (SP)
|
100% |
4408
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
4500
53.5 IPS |
|
|
Face Detection (Q)
|
95% |
10227
122.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4607
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4550
35.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10060
92.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11649
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11536
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25514
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2481
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6462
239.4 IPS |
|
|
Text Classification (SP)
|
100% |
970
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
969
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1061
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
572
20.3 IPS |
