samsung SM-G736U1
Geekbench AI Score
364
Single Precision Score
317
Half Precision Score
689
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | xRoach |
| Upload Date | August 27 2025 06:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-G736U1 |
| Model ID | samsung SM-G736U1 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.5 IPS |
|
|
Image Classification (Q)
|
100% |
707
131.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
1273
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
638
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1099
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
453
36.6 IPS |
|
|
Face Detection (SP)
|
100% |
353
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
95% |
856
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
464
3.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
502
3.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
1027
9.41 IPS |
|
|
Style Transfer (SP)
|
89% |
1138
1.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1146
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
2513
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
606
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
169
226.2 IPS |
|
|
Text Classification (HP)
|
100% |
185
247.3 IPS |
|
|
Text Classification (Q)
|
88% |
390
525.6 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (Q)
|
50% |
253
9.00 IPS |
