samsung SM-S936B
Geekbench AI Score
513
Single Precision Score
26831
Half Precision Score
59742
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | a_ren |
| Upload Date | June 23 2025 06:26 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
386
71.8 IPS |
|
|
Image Classification (HP)
|
100% |
21016
3.91 KIPS |
|
|
Image Classification (Q)
|
97% |
49125
9.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
13555
219.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
41390
673.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
576
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
123503
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
476610
557.8 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
18610
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
21470
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (HP)
|
100% |
39690
471.6 IPS |
|
|
Face Detection (Q)
|
97% |
131384
1.57 KIPS |
|
|
Depth Estimation (SP)
|
100% |
663
5.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
83530
643.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
141347
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1007
1.29 IPS |
|
|
Style Transfer (HP)
|
98% |
98432
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
489765
631.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52485
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
132246
4.90 KIPS |
|
|
Text Classification (SP)
|
100% |
395
526.9 IPS |
|
|
Text Classification (HP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7893
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4438
76.4 IPS |
|
|
Machine Translation (Q)
|
56% |
2932
75.5 IPS |
