samsung SM-X926B
Geekbench AI Score
1056
Single Precision Score
1262
Half Precision Score
1314
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Jerminalz |
| Upload Date | September 28 2024 06:31 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X926B |
| Model ID | samsung SM-X926B |
| Motherboard | gts10u |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 10.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
672
125.0 IPS |
|
|
Image Classification (HP)
|
100% |
716
133.2 IPS |
|
|
Image Classification (Q)
|
99% |
638
118.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1659
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
791
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1195
1.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1192
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
649
51.4 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.3 IPS |
|
|
Object Detection (Q)
|
83% |
884
71.5 IPS |
|
|
Face Detection (SP)
|
100% |
2800
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
3448
41.0 IPS |
|
|
Face Detection (Q)
|
97% |
3114
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1636
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2134
16.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1771
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4254
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
5483
7.05 IPS |
|
|
Style Transfer (Q)
|
98% |
5525
7.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1132
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1120
41.5 IPS |
|
|
Text Classification (SP)
|
100% |
304
406.1 IPS |
|
|
Text Classification (HP)
|
100% |
306
407.8 IPS |
|
|
Text Classification (Q)
|
91% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
537
13.1 IPS |
