samsung SM-S936U
Geekbench AI Score
544
Single Precision Score
27118
Half Precision Score
60346
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 15 2025 04:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S936U |
| Model ID | samsung SM-S936U |
| 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% |
454
84.4 IPS |
|
|
Image Classification (HP)
|
100% |
21484
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
49276
9.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
13588
220.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
42404
689.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
557
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
123619
144.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
476798
558.1 IPS |
|
|
Object Detection (SP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
18940
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
21419
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (HP)
|
100% |
40707
483.7 IPS |
|
|
Face Detection (Q)
|
97% |
136169
1.62 KIPS |
|
|
Depth Estimation (SP)
|
100% |
662
5.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
83470
643.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
142182
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1105
1.42 IPS |
|
|
Style Transfer (HP)
|
98% |
98467
127.0 IPS |
|
|
Style Transfer (Q)
|
98% |
490451
632.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
342
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53228
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134395
4.98 KIPS |
|
|
Text Classification (SP)
|
100% |
428
571.3 IPS |
|
|
Text Classification (HP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7901
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4533
78.1 IPS |
|
|
Machine Translation (Q)
|
56% |
2977
76.7 IPS |
