samsung SM-X926B
Geekbench AI Score
1058
Single Precision Score
1321
Half Precision Score
1300
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 01:44 PM |
| Views | 1 |
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 @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
657
122.2 IPS |
|
|
Image Classification (HP)
|
100% |
728
135.4 IPS |
|
|
Image Classification (Q)
|
99% |
655
122.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1679
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1206
1.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
1202
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (HP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (Q)
|
83% |
906
73.3 IPS |
|
|
Face Detection (SP)
|
100% |
2888
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (Q)
|
97% |
2459
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1627
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2220
17.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1790
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4287
5.51 IPS |
|
|
Style Transfer (HP)
|
100% |
5593
7.19 IPS |
|
|
Style Transfer (Q)
|
98% |
5527
7.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1155
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1113
41.2 IPS |
|
|
Text Classification (SP)
|
100% |
308
411.2 IPS |
|
|
Text Classification (HP)
|
100% |
476
635.4 IPS |
|
|
Text Classification (Q)
|
91% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
558
13.6 IPS |
