LIVA Z5 [Win 11] ECS RPLU-MINI
Geekbench AI Score
1747
Single Precision Score
1699
Half Precision Score
3959
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | March 28 2026 03:24 PM |
| Views | 6 |
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% |
948
176.2 IPS |
|
|
Image Classification (HP)
|
100% |
941
175.0 IPS |
|
|
Image Classification (Q)
|
100% |
2474
460.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2293
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2447
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1913
2.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
6603
7.73 IPS |
|
|
Object Detection (SP)
|
100% |
983
78.0 IPS |
|
|
Object Detection (HP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (Q)
|
88% |
2521
202.1 IPS |
|
|
Face Detection (SP)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2312
27.5 IPS |
|
|
Face Detection (Q)
|
100% |
5627
66.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2364
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2327
17.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
6475
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6576
8.45 IPS |
|
|
Style Transfer (HP)
|
100% |
6757
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
17208
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1267
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3874
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
1059
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (Q)
|
92% |
2540
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1751
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1654
28.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1626
28.0 IPS |
