samsung SM-X910
Geekbench AI Score
2354
Single Precision Score
2323
Half Precision Score
3792
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 08:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X910 |
| Model ID | samsung SM-X910 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1867
347.2 IPS |
|
|
Image Classification (HP)
|
100% |
1883
350.2 IPS |
|
|
Image Classification (Q)
|
100% |
2808
522.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3281
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3281
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3235
3.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
7595
9.01 IPS |
|
|
Object Detection (SP)
|
98% |
1838
146.3 IPS |
|
|
Object Detection (HP)
|
98% |
1792
142.6 IPS |
|
|
Object Detection (Q)
|
83% |
2847
230.0 IPS |
|
|
Face Detection (SP)
|
100% |
3488
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (Q)
|
95% |
6349
75.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3549
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3486
26.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6092
55.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7950
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7867
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15820
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1659
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4239
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
850
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
1426
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (Q)
|
50% |
835
29.6 IPS |
