samsung SM-S938B
Geekbench AI Score
383
Single Precision Score
25774
Half Precision Score
57043
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | wolfcam |
| Upload Date | February 24 2025 02:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
263
48.9 IPS |
|
|
Image Classification (HP)
|
100% |
20163
3.75 KIPS |
|
|
Image Classification (Q)
|
97% |
48517
9.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
13588
220.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
40981
666.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
443
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
122307
142.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
472958
553.6 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
17153
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
19795
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
489
5.81 IPS |
|
|
Face Detection (HP)
|
100% |
36162
429.7 IPS |
|
|
Face Detection (Q)
|
97% |
116132
1.38 KIPS |
|
|
Depth Estimation (SP)
|
100% |
433
3.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
79463
612.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
132078
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
877
1.13 IPS |
|
|
Style Transfer (HP)
|
98% |
98356
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
488621
630.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52129
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
127269
4.72 KIPS |
|
|
Text Classification (SP)
|
100% |
316
421.8 IPS |
|
|
Text Classification (HP)
|
100% |
3860
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
7692
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (HP)
|
100% |
3958
68.2 IPS |
|
|
Machine Translation (Q)
|
56% |
2671
68.8 IPS |
