samsung SM-S936W
Geekbench AI Score
2641
Single Precision Score
2738
Half Precision Score
4094
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Clementin |
| Upload Date | June 04 2025 05:54 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1976
367.4 IPS |
|
|
Image Classification (HP)
|
100% |
2006
373.1 IPS |
|
|
Image Classification (Q)
|
100% |
4375
813.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3623
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5848
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
5546
6.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
9882
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
1525
121.4 IPS |
|
|
Object Detection (HP)
|
98% |
1602
127.5 IPS |
|
|
Object Detection (Q)
|
83% |
3255
262.9 IPS |
|
|
Face Detection (SP)
|
100% |
4522
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
4390
52.2 IPS |
|
|
Face Detection (Q)
|
95% |
10086
120.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4673
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4742
36.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
8991
82.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7744
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10377
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21157
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2298
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2252
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5490
203.4 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
829
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
625
843.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
395
14.0 IPS |
