samsung SM-S938B
Geekbench AI Score
2080
Single Precision Score
2221
Half Precision Score
3084
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | riussi |
| Upload Date | February 04 2025 01:21 PM |
| Views | 13 |
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% |
2073
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
2045
380.4 IPS |
|
|
Image Classification (Q)
|
100% |
4461
829.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5510
89.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5016
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4479
5.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
5452
6.47 IPS |
|
|
Object Detection (SP)
|
98% |
938
74.7 IPS |
|
|
Object Detection (HP)
|
98% |
1057
84.1 IPS |
|
|
Object Detection (Q)
|
83% |
1065
86.0 IPS |
|
|
Face Detection (SP)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (Q)
|
95% |
8575
102.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4386
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4553
35.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10448
95.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11420
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10664
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18497
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3241
120.1 IPS |
|
|
Text Classification (SP)
|
100% |
479
639.2 IPS |
|
|
Text Classification (HP)
|
99% |
501
669.3 IPS |
|
|
Text Classification (Q)
|
88% |
543
732.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
50% |
187
6.62 IPS |
