samsung SM-G736U1
Geekbench AI Score
183
Single Precision Score
180
Half Precision Score
9026
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | xRoach |
| Upload Date | August 27 2025 07:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (Q)
|
99% |
7335
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
5603
91.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
42177
49.5 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.81 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.85 IPS |
|
|
Object Detection (Q)
|
88% |
3757
301.0 IPS |
|
|
Face Detection (SP)
|
100% |
312
3.70 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.74 IPS |
|
|
Face Detection (Q)
|
97% |
17685
210.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
275
2.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
18331
168.8 IPS |
|
|
Style Transfer (SP)
|
100% |
384
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
334
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
80502
103.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
91
3.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
91
3.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
21864
810.2 IPS |
|
|
Text Classification (SP)
|
100% |
118
157.3 IPS |
|
|
Text Classification (HP)
|
100% |
118
157.2 IPS |
|
|
Text Classification (Q)
|
94% |
2416
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (HP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (Q)
|
50% |
400
13.8 IPS |
