samsung SM-X736B
Geekbench AI Score
1156
Single Precision Score
9507
Half Precision Score
13003
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | AgenttiX |
| Upload Date | November 05 2025 08:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1163
216.2 IPS |
|
|
Image Classification (HP)
|
100% |
5219
970.6 IPS |
|
|
Image Classification (Q)
|
99% |
13704
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4880
79.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2122
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9782
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21765
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88008
103.2 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
100% |
5558
440.8 IPS |
|
|
Object Detection (Q)
|
86% |
6714
540.0 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
14571
173.1 IPS |
|
|
Face Detection (Q)
|
97% |
15779
188.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
755
5.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
22713
175.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
38633
366.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2919
3.75 IPS |
|
|
Style Transfer (HP)
|
100% |
68335
87.8 IPS |
|
|
Style Transfer (Q)
|
98% |
236146
304.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2868
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12654
467.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39028
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
112
150.0 IPS |
|
|
Text Classification (HP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (Q)
|
93% |
2835
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
270
4.64 IPS |
|
|
Machine Translation (HP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (Q)
|
60% |
505
11.4 IPS |
