samsung SM-S731W
Geekbench AI Score
3606
Single Precision Score
24671
Half Precision Score
45966
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 06:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S731W |
| Model ID | samsung SM-S731W |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1650
306.9 IPS |
|
|
Image Classification (HP)
|
100% |
16181
3.01 KIPS |
|
|
Image Classification (Q)
|
100% |
33181
6.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3099
50.2 IPS |
|
|
Image Segmentation (HP)
|
97% |
12467
202.8 IPS |
|
|
Image Segmentation (Q)
|
96% |
28646
466.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14847
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
79991
93.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
240575
281.7 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
14104
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
24038
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5174
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
39392
468.1 IPS |
|
|
Face Detection (Q)
|
97% |
99059
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5710
44.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
56678
450.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
106391
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29623
38.1 IPS |
|
|
Style Transfer (HP)
|
99% |
171835
221.5 IPS |
|
|
Style Transfer (Q)
|
98% |
268659
346.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4250
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22774
858.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59562
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
644
860.0 IPS |
|
|
Text Classification (HP)
|
100% |
6874
9.18 KIPS |
|
|
Text Classification (Q)
|
93% |
8068
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6113
105.3 IPS |
|
|
Machine Translation (Q)
|
56% |
5631
144.4 IPS |
