samsung SM-X736B
Geekbench AI Score
1930
Single Precision Score
1894
Half Precision Score
2667
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | AgenttiX |
| Upload Date | November 05 2025 08:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1621
301.5 IPS |
|
|
Image Classification (HP)
|
100% |
1600
297.6 IPS |
|
|
Image Classification (Q)
|
100% |
2656
494.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2724
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3004
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2683
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
5066
6.01 IPS |
|
|
Object Detection (SP)
|
98% |
1201
95.6 IPS |
|
|
Object Detection (HP)
|
98% |
1182
94.0 IPS |
|
|
Object Detection (Q)
|
83% |
1767
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
2746
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2785
33.1 IPS |
|
|
Face Detection (Q)
|
95% |
4053
48.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3239
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3233
25.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4272
39.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6431
8.35 IPS |
|
|
Style Transfer (HP)
|
89% |
6178
8.02 IPS |
|
|
Style Transfer (Q)
|
98% |
10587
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1272
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2617
97.0 IPS |
|
|
Text Classification (SP)
|
100% |
573
765.1 IPS |
|
|
Text Classification (HP)
|
99% |
610
814.1 IPS |
|
|
Text Classification (Q)
|
88% |
1075
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
547
19.4 IPS |
