samsung SM-S936B
Geekbench AI Score
1235
Single Precision Score
2253
Half Precision Score
2070
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ReedOnly |
| Upload Date | February 27 2025 09:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S936B |
| Model ID | samsung SM-S936B |
| 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% |
721
134.0 IPS |
|
|
Image Classification (HP)
|
100% |
990
184.1 IPS |
|
|
Image Classification (Q)
|
99% |
1263
235.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3162
51.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1264
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1689
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2527
2.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
2478
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (HP)
|
100% |
1168
92.7 IPS |
|
|
Object Detection (Q)
|
86% |
1176
94.5 IPS |
|
|
Face Detection (SP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
6030
71.7 IPS |
|
|
Face Detection (Q)
|
97% |
5530
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1497
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4054
31.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3415
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5178
6.66 IPS |
|
|
Style Transfer (HP)
|
100% |
11261
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
10953
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
649
24.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1905
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1993
73.8 IPS |
|
|
Text Classification (SP)
|
100% |
680
908.1 IPS |
|
|
Text Classification (HP)
|
100% |
680
907.4 IPS |
|
|
Text Classification (Q)
|
91% |
1077
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1036
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
57% |
701
17.1 IPS |
