samsung SM-S931B
Geekbench AI Score
478
Single Precision Score
26375
Half Precision Score
58848
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | February 04 2025 11:32 PM |
| Views | 5 |
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% |
442
82.3 IPS |
|
|
Image Classification (HP)
|
100% |
21413
3.98 KIPS |
|
|
Image Classification (Q)
|
97% |
49563
9.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
13723
222.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
42278
687.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
464
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
123502
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
477384
558.8 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
18964
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
21668
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
491
5.83 IPS |
|
|
Face Detection (HP)
|
100% |
36124
429.2 IPS |
|
|
Face Detection (Q)
|
97% |
116163
1.39 KIPS |
|
|
Depth Estimation (SP)
|
100% |
580
4.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
83360
642.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
141602
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1036
1.33 IPS |
|
|
Style Transfer (HP)
|
98% |
98470
127.0 IPS |
|
|
Style Transfer (Q)
|
98% |
490154
632.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52190
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
128531
4.76 KIPS |
|
|
Text Classification (SP)
|
100% |
363
484.9 IPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7878
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (HP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2815
72.5 IPS |
