samsung SM-X926B
Geekbench AI Score
2088
Single Precision Score
2087
Half Precision Score
2980
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Jerminalz |
| Upload Date | September 28 2024 06:38 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1667
310.1 IPS |
|
|
Image Classification (HP)
|
100% |
1751
325.6 IPS |
|
|
Image Classification (Q)
|
100% |
2612
485.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2812
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3120
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3072
3.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
6228
7.39 IPS |
|
|
Object Detection (SP)
|
98% |
1379
109.7 IPS |
|
|
Object Detection (HP)
|
98% |
1378
109.7 IPS |
|
|
Object Detection (Q)
|
83% |
1989
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2940
34.9 IPS |
|
|
Face Detection (Q)
|
95% |
4459
53.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3298
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3318
25.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4593
42.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6388
8.29 IPS |
|
|
Style Transfer (HP)
|
89% |
6406
8.32 IPS |
|
|
Style Transfer (Q)
|
98% |
11963
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3012
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
663
884.7 IPS |
|
|
Text Classification (HP)
|
99% |
660
880.4 IPS |
|
|
Text Classification (Q)
|
88% |
1149
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1689
29.1 IPS |
|
|
Machine Translation (Q)
|
50% |
717
25.4 IPS |
