samsung SM-X910
Geekbench AI Score
2190
Single Precision Score
2165
Half Precision Score
3512
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Longfellow55 |
| Upload Date | October 20 2024 10:13 AM |
| Views | 4 |
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% |
1733
322.3 IPS |
|
|
Image Classification (HP)
|
100% |
1866
347.1 IPS |
|
|
Image Classification (Q)
|
100% |
2802
521.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2947
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2662
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2937
3.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
6676
7.92 IPS |
|
|
Object Detection (SP)
|
98% |
1674
133.2 IPS |
|
|
Object Detection (HP)
|
98% |
1656
131.8 IPS |
|
|
Object Detection (Q)
|
83% |
2531
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (Q)
|
95% |
5717
68.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3222
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3214
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5403
49.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7340
9.53 IPS |
|
|
Style Transfer (HP)
|
89% |
7255
9.42 IPS |
|
|
Style Transfer (Q)
|
98% |
14099
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3925
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
813
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
1444
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (Q)
|
50% |
829
29.4 IPS |
