samsung SM-X526B
Geekbench AI Score
681
Single Precision Score
1098
Half Precision Score
822
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 16 2026 06:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X526B |
| Model ID | samsung SM-X526B |
| Motherboard | s5e8855 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (HP)
|
100% |
700
130.3 IPS |
|
|
Image Classification (Q)
|
100% |
548
101.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1141
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3206
3.74 IPS |
|
|
Pose Estimation (HP)
|
99% |
5433
6.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
4617
5.41 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (HP)
|
99% |
444
35.2 IPS |
|
|
Object Detection (Q)
|
84% |
457
36.8 IPS |
|
|
Face Detection (SP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
2137
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
1864
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1763
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3337
25.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2289
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5237
6.73 IPS |
|
|
Style Transfer (HP)
|
100% |
8657
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8994
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
876
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1826
67.7 IPS |
|
|
Text Classification (SP)
|
35% |
23
209.6 IPS |
|
|
Text Classification (HP)
|
35% |
31
282.1 IPS |
|
|
Text Classification (Q)
|
31% |
18
272.6 IPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
42% |
85
5.53 IPS |
