samsung SM-S931W
Geekbench AI Score
564
Single Precision Score
26978
Half Precision Score
60461
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | May 30 2025 05:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931W |
| Model ID | samsung SM-S931W |
| 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% |
451
83.9 IPS |
|
|
Image Classification (HP)
|
100% |
20823
3.87 KIPS |
|
|
Image Classification (Q)
|
97% |
47997
8.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
13518
219.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
42099
684.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
726
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
123494
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
477647
559.1 IPS |
|
|
Object Detection (SP)
|
100% |
289
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
18910
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
21761
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
810
9.62 IPS |
|
|
Face Detection (HP)
|
100% |
41580
494.1 IPS |
|
|
Face Detection (Q)
|
97% |
144433
1.72 KIPS |
|
|
Depth Estimation (SP)
|
100% |
776
5.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
82886
638.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
142167
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1170
1.50 IPS |
|
|
Style Transfer (HP)
|
98% |
98681
127.2 IPS |
|
|
Style Transfer (Q)
|
98% |
490938
633.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53816
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134607
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
363
485.1 IPS |
|
|
Text Classification (HP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
7752
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4390
75.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2955
76.1 IPS |
