samsung SM-X736B
Geekbench AI Score
1346
Single Precision Score
1899
Half Precision Score
1560
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | AgenttiX |
| Upload Date | November 05 2025 08:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X736B |
| Model ID | samsung SM-X736B |
| Motherboard | gts11 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 10.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
544
101.1 IPS |
|
|
Image Classification (HP)
|
100% |
1007
187.2 IPS |
|
|
Image Classification (Q)
|
97% |
744
138.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2855
46.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2591
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9233
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15893
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15366
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (HP)
|
99% |
841
66.7 IPS |
|
|
Object Detection (Q)
|
83% |
764
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
4484
53.3 IPS |
|
|
Face Detection (Q)
|
96% |
3823
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3616
27.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6190
47.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4431
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14145
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25509
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25581
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2424
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2327
86.2 IPS |
|
|
Text Classification (SP)
|
35% |
24
220.8 IPS |
|
|
Text Classification (HP)
|
29% |
17
287.6 IPS |
|
|
Text Classification (Q)
|
32% |
29
380.3 IPS |
|
|
Machine Translation (SP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.36 IPS |
|
|
Machine Translation (Q)
|
43% |
129
7.49 IPS |
