LIVA Z5 [Win 11] ECS RPLU-MINI
Geekbench AI Score
3140
Single Precision Score
4463
Half Precision Score
7106
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | March 28 2026 04:16 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1895
352.3 IPS |
|
|
Image Classification (HP)
|
100% |
2772
515.5 IPS |
|
|
Image Classification (Q)
|
99% |
4062
757.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4647
75.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5707
92.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6068
7.08 IPS |
|
|
Pose Estimation (HP)
|
99% |
4345
5.07 IPS |
|
|
Pose Estimation (Q)
|
97% |
19849
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1854
147.1 IPS |
|
|
Object Detection (HP)
|
100% |
2850
226.1 IPS |
|
|
Object Detection (Q)
|
90% |
4518
361.2 IPS |
|
|
Face Detection (SP)
|
100% |
5034
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
8506
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
12770
151.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6554
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10521
81.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14777
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15853
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23327
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
44642
57.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2614
96.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3981
147.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8136
301.3 IPS |
|
|
Text Classification (SP)
|
71% |
1027
1.49 KIPS |
|
|
Text Classification (HP)
|
71% |
1232
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
1166
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1921
33.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1977
34.2 IPS |
