samsung SM-S936B
Geekbench AI Score
2785
Single Precision Score
2838
Half Precision Score
5085
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ReedOnly |
| Upload Date | February 27 2025 08:57 PM |
| Views | 6 |
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% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
2073
385.5 IPS |
|
|
Image Classification (Q)
|
100% |
4425
822.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5149
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5416
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5242
6.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
13324
15.8 IPS |
|
|
Object Detection (SP)
|
98% |
1571
125.0 IPS |
|
|
Object Detection (HP)
|
98% |
1682
133.8 IPS |
|
|
Object Detection (Q)
|
83% |
3873
312.8 IPS |
|
|
Face Detection (SP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
4527
53.8 IPS |
|
|
Face Detection (Q)
|
95% |
9941
118.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4621
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4469
34.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
10726
98.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11555
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11338
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23949
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2416
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2447
90.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6373
236.2 IPS |
|
|
Text Classification (SP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
982
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1043
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
580
20.6 IPS |
