samsung SM-S936W
Geekbench AI Score
527
Single Precision Score
26609
Half Precision Score
59248
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Clementin |
| Upload Date | June 04 2025 06:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S936W |
| Model ID | samsung SM-S936W |
| 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% |
388
72.2 IPS |
|
|
Image Classification (HP)
|
100% |
21034
3.91 KIPS |
|
|
Image Classification (Q)
|
97% |
49143
9.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
13512
219.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
41328
672.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
596
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
123285
143.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
475997
557.1 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
18993
1.51 KIPS |
|
|
Object Detection (Q)
|
85% |
21514
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
705
8.37 IPS |
|
|
Face Detection (HP)
|
100% |
36145
429.5 IPS |
|
|
Face Detection (Q)
|
97% |
116614
1.39 KIPS |
|
|
Depth Estimation (SP)
|
100% |
430
3.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
79458
612.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
136426
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
1099
1.41 IPS |
|
|
Style Transfer (HP)
|
98% |
98065
126.5 IPS |
|
|
Style Transfer (Q)
|
98% |
489411
631.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53232
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134233
4.97 KIPS |
|
|
Text Classification (SP)
|
100% |
497
663.3 IPS |
|
|
Text Classification (HP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7954
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4577
78.8 IPS |
|
|
Machine Translation (Q)
|
56% |
3083
79.4 IPS |
