samsung SM-S938B
Geekbench AI Score
544
Single Precision Score
26895
Half Precision Score
60296
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 25 2025 11:59 PM |
| Views | 27 |
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% |
434
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
21236
3.95 KIPS |
|
|
Image Classification (Q)
|
97% |
49349
9.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
572
9.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
13707
222.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
42386
689.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
596
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
123448
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
477465
558.8 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
18206
1.44 KIPS |
|
|
Object Detection (Q)
|
85% |
21028
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
653
7.75 IPS |
|
|
Face Detection (HP)
|
100% |
39851
473.5 IPS |
|
|
Face Detection (Q)
|
97% |
132203
1.58 KIPS |
|
|
Depth Estimation (SP)
|
100% |
669
5.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
83817
645.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
144916
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
1351
1.74 IPS |
|
|
Style Transfer (HP)
|
98% |
98400
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
488913
630.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51892
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
131065
4.86 KIPS |
|
|
Text Classification (SP)
|
100% |
395
527.1 IPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7963
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4558
78.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3094
79.7 IPS |
