LIVA Z5 ECS RPLU-MINI
Geekbench AI Score
1259
Single Precision Score
1209
Half Precision Score
832
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Tungsten |
| Upload Date | July 26 2025 03:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-1315U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ECS RPLU-MINI |
| Motherboard | ECS RPLU-MINI |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1315U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
901
167.5 IPS |
|
|
Image Classification (HP)
|
100% |
872
162.2 IPS |
|
|
Image Classification (Q)
|
99% |
559
104.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1126
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1113
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
655
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1530
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1277
1.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
1167
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
867
68.7 IPS |
|
|
Object Detection (HP)
|
100% |
855
67.8 IPS |
|
|
Object Detection (Q)
|
85% |
600
48.3 IPS |
|
|
Face Detection (SP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1482
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
1426
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1485
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1451
11.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1105
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2107
2.71 IPS |
|
|
Style Transfer (HP)
|
100% |
2109
2.71 IPS |
|
|
Style Transfer (Q)
|
98% |
2694
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1051
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
724
26.8 IPS |
|
|
Text Classification (SP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (Q)
|
92% |
499
670.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (Q)
|
58% |
407
9.56 IPS |
