samsung SM-S931B
Geekbench AI Score
524
Single Precision Score
26753
Half Precision Score
59932
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | March 28 2025 09:26 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931B |
| Model ID | samsung SM-S931B |
| 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% |
339
63.0 IPS |
|
|
Image Classification (HP)
|
100% |
21431
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
49166
9.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
13800
223.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
42105
684.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
573
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
122977
143.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
478113
559.6 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
100% |
17844
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20526
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
568
6.75 IPS |
|
|
Face Detection (HP)
|
100% |
38598
458.6 IPS |
|
|
Face Detection (Q)
|
97% |
132509
1.58 KIPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
83684
644.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
143298
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
1195
1.54 IPS |
|
|
Style Transfer (HP)
|
98% |
98679
127.2 IPS |
|
|
Style Transfer (Q)
|
98% |
491010
633.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52381
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
132804
4.92 KIPS |
|
|
Text Classification (SP)
|
100% |
395
527.4 IPS |
|
|
Text Classification (HP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
7858
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4483
77.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3025
77.9 IPS |
