samsung SM-S936B
Geekbench AI Score
1044
Single Precision Score
1887
Half Precision Score
1824
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | a_ren |
| Upload Date | June 23 2025 06:11 AM |
| Views | 9 |
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% |
555
103.1 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (Q)
|
99% |
932
173.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2424
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1224
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2110
2.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
2107
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (HP)
|
100% |
1028
81.5 IPS |
|
|
Object Detection (Q)
|
86% |
1016
81.6 IPS |
|
|
Face Detection (SP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
4333
51.5 IPS |
|
|
Face Detection (Q)
|
97% |
3683
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1290
9.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
3425
26.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2889
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4348
5.59 IPS |
|
|
Style Transfer (HP)
|
100% |
9419
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9367
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1573
58.3 IPS |
|
|
Text Classification (SP)
|
100% |
575
767.6 IPS |
|
|
Text Classification (HP)
|
100% |
576
769.0 IPS |
|
|
Text Classification (Q)
|
91% |
887
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
57% |
607
14.8 IPS |
