samsung SM-S936B
Geekbench AI Score
2199
Single Precision Score
2423
Half Precision Score
3175
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 02:49 PM |
| Views | 2 |
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% |
1971
366.5 IPS |
|
|
Image Classification (HP)
|
100% |
1960
364.5 IPS |
|
|
Image Classification (Q)
|
100% |
2639
490.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3043
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2926
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3613
4.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
10091
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
1201
95.6 IPS |
|
|
Object Detection (HP)
|
98% |
1347
107.2 IPS |
|
|
Object Detection (Q)
|
83% |
1780
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (Q)
|
95% |
8822
105.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4518
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4551
35.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
8980
82.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8651
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8656
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17820
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1905
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1912
70.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4709
174.5 IPS |
|
|
Text Classification (SP)
|
100% |
651
868.3 IPS |
|
|
Text Classification (HP)
|
99% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
274
369.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1371
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
397
14.1 IPS |
