samsung SM-S931B
Geekbench AI Score
566
Single Precision Score
27214
Half Precision Score
60134
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 17 2025 04:33 PM |
| Views | 14 |
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% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
21657
4.03 KIPS |
|
|
Image Classification (Q)
|
97% |
49475
9.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
13677
221.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
39176
637.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
592
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
123315
143.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
478321
559.8 IPS |
|
|
Object Detection (SP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
19372
1.54 KIPS |
|
|
Object Detection (Q)
|
85% |
22378
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
942
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
41198
489.5 IPS |
|
|
Face Detection (Q)
|
97% |
141688
1.69 KIPS |
|
|
Depth Estimation (SP)
|
100% |
646
4.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
83298
641.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
135432
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
1169
1.50 IPS |
|
|
Style Transfer (HP)
|
98% |
98601
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
490076
632.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53179
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134270
4.98 KIPS |
|
|
Text Classification (SP)
|
100% |
394
526.5 IPS |
|
|
Text Classification (HP)
|
100% |
3877
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7903
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4514
77.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2987
77.0 IPS |
