samsung SM-S938B
Geekbench AI Score
2908
Single Precision Score
2906
Half Precision Score
5220
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Wilhelm |
| Upload Date | February 05 2025 09:46 AM |
| Views | 5 |
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% |
2191
407.4 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
100% |
4737
881.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2591
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5443
88.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5352
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
5582
6.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
13885
16.5 IPS |
|
|
Object Detection (SP)
|
98% |
1832
145.8 IPS |
|
|
Object Detection (HP)
|
98% |
1836
146.1 IPS |
|
|
Object Detection (Q)
|
83% |
4203
339.5 IPS |
|
|
Face Detection (SP)
|
100% |
4623
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
4560
54.2 IPS |
|
|
Face Detection (Q)
|
95% |
10164
121.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4825
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4817
37.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
11099
101.7 IPS |
|
|
Style Transfer (SP)
|
89% |
12052
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11885
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24564
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2083
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5913
219.1 IPS |
|
|
Text Classification (SP)
|
100% |
948
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
989
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
1057
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1379
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
577
20.5 IPS |
