samsung SM-S931B
Geekbench AI Score
476
Single Precision Score
26452
Half Precision Score
58315
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 10:49 AM |
| Views | 2 |
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% |
439
81.6 IPS |
|
|
Image Classification (HP)
|
100% |
21294
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
49044
9.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
13666
221.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
36829
598.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
413
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
122568
143.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
473000
553.6 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
17058
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
21064
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (HP)
|
100% |
38350
455.7 IPS |
|
|
Face Detection (Q)
|
97% |
124444
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
574
4.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
80906
623.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
136214
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
1014
1.30 IPS |
|
|
Style Transfer (HP)
|
98% |
98365
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
489289
630.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52391
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
131248
4.86 KIPS |
|
|
Text Classification (SP)
|
100% |
363
485.1 IPS |
|
|
Text Classification (HP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7807
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4454
76.7 IPS |
|
|
Machine Translation (Q)
|
56% |
2974
76.6 IPS |
