samsung SM-S936B
Geekbench AI Score
2859
Single Precision Score
2858
Half Precision Score
5179
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | veneno12 |
| Upload Date | March 03 2025 08:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1884
350.3 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (Q)
|
100% |
4333
805.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5189
84.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5666
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5485
6.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
14056
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1675
133.3 IPS |
|
|
Object Detection (HP)
|
98% |
1763
140.3 IPS |
|
|
Object Detection (Q)
|
83% |
4093
330.6 IPS |
|
|
Face Detection (SP)
|
100% |
4474
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
4419
52.5 IPS |
|
|
Face Detection (Q)
|
95% |
9906
118.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4604
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4588
35.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
9971
91.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11834
15.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11553
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26125
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2396
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2423
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6901
255.7 IPS |
|
|
Text Classification (SP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
988
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
1069
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
564
20.0 IPS |
