LIVA Z5 [Win 11] ECS RPLU-MINI
Geekbench AI Score
1688
Single Precision Score
1751
Half Precision Score
3952
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | March 29 2026 09:21 AM |
| Views | 9 |
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% |
794
147.6 IPS |
|
|
Image Classification (HP)
|
100% |
829
154.2 IPS |
|
|
Image Classification (Q)
|
100% |
2481
461.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2194
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1932
2.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
6563
7.69 IPS |
|
|
Object Detection (SP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (HP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (Q)
|
88% |
2497
200.2 IPS |
|
|
Face Detection (SP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (Q)
|
100% |
5629
66.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2811
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2836
21.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
6518
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6379
8.20 IPS |
|
|
Style Transfer (HP)
|
100% |
6564
8.44 IPS |
|
|
Style Transfer (Q)
|
98% |
18409
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1078
39.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1332
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3820
141.5 IPS |
|
|
Text Classification (SP)
|
100% |
997
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (Q)
|
92% |
2489
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1689
29.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1626
28.0 IPS |
