samsung SM-S931W
Geekbench AI Score
662
Single Precision Score
27334
Half Precision Score
61388
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | March 04 2025 02:06 AM |
| Views | 17 |
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% |
448
83.3 IPS |
|
|
Image Classification (HP)
|
100% |
20851
3.88 KIPS |
|
|
Image Classification (Q)
|
97% |
48224
9.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
13568
219.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
41633
677.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
753
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
121582
141.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
473291
554.0 IPS |
|
|
Object Detection (SP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (HP)
|
100% |
19792
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
23095
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
1055
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
44085
523.8 IPS |
|
|
Face Detection (Q)
|
97% |
159854
1.91 KIPS |
|
|
Depth Estimation (SP)
|
100% |
772
5.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
77899
600.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
130760
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
1570
2.02 IPS |
|
|
Style Transfer (HP)
|
98% |
98882
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
490446
632.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55273
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135052
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
569
759.4 IPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
7982
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4632
79.8 IPS |
|
|
Machine Translation (Q)
|
56% |
3134
80.7 IPS |
