samsung SM-X926B
Geekbench AI Score
2308
Single Precision Score
2302
Half Precision Score
3338
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 05:04 PM |
| Views | 2 |
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 @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1718
319.5 IPS |
|
|
Image Classification (HP)
|
100% |
1832
340.7 IPS |
|
|
Image Classification (Q)
|
100% |
2642
491.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2820
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3316
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3301
3.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
6634
7.87 IPS |
|
|
Object Detection (SP)
|
98% |
1375
109.4 IPS |
|
|
Object Detection (HP)
|
98% |
1297
103.2 IPS |
|
|
Object Detection (Q)
|
83% |
1990
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (Q)
|
95% |
4654
55.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3976
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3894
30.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5868
53.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7763
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7766
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14372
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3747
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
836
1.12 KIPS |
|
|
Text Classification (Q)
|
88% |
1391
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (Q)
|
50% |
855
30.4 IPS |
