LIVA Z5 [Win 11] ECS RPLU-MINI
Geekbench AI Score
1793
Single Precision Score
1692
Half Precision Score
3950
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | March 28 2026 02:49 PM |
| Views | 11 |
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% |
947
176.2 IPS |
|
|
Image Classification (HP)
|
100% |
943
175.4 IPS |
|
|
Image Classification (Q)
|
100% |
2467
458.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2205
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2448
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1924
2.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
6625
7.76 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (HP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (Q)
|
88% |
2468
197.9 IPS |
|
|
Face Detection (SP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (Q)
|
100% |
5599
66.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2466
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2320
17.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
6416
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6575
8.45 IPS |
|
|
Style Transfer (HP)
|
100% |
6567
8.44 IPS |
|
|
Style Transfer (Q)
|
98% |
18401
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3789
140.3 IPS |
|
|
Text Classification (SP)
|
100% |
1036
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1085
1.45 KIPS |
|
|
Text Classification (Q)
|
92% |
2573
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1614
27.8 IPS |
