LIVA Z5 [Win 11] ECS RPLU-MINI
Geekbench AI Score
1776
Single Precision Score
1773
Half Precision Score
3975
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | March 29 2026 09:25 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i3-1315U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ECS RPLU-MINI |
| Motherboard | ECS RPLU-MINI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1315U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
941
175.1 IPS |
|
|
Image Classification (HP)
|
100% |
946
176.0 IPS |
|
|
Image Classification (Q)
|
100% |
2473
459.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2267
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2450
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1913
2.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
6663
7.80 IPS |
|
|
Object Detection (SP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (HP)
|
100% |
998
79.1 IPS |
|
|
Object Detection (Q)
|
88% |
2562
205.4 IPS |
|
|
Face Detection (SP)
|
100% |
2810
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (Q)
|
100% |
5551
66.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2247
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2773
21.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
6502
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6598
8.48 IPS |
|
|
Style Transfer (HP)
|
100% |
6530
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
18287
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1334
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1346
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3839
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
2491
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1689
29.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1634
28.1 IPS |
