LIVA Z5 [Win 11] ECS RPLU-MINI
Geekbench AI Score
3233
Single Precision Score
4541
Half Precision Score
7082
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | March 29 2026 09:49 AM |
| Views | 12 |
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% |
1936
360.0 IPS |
|
|
Image Classification (HP)
|
100% |
2815
523.4 IPS |
|
|
Image Classification (Q)
|
99% |
3861
720.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4670
75.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5704
92.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6052
7.06 IPS |
|
|
Pose Estimation (HP)
|
99% |
4487
5.24 IPS |
|
|
Pose Estimation (Q)
|
97% |
19765
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
1860
147.5 IPS |
|
|
Object Detection (HP)
|
100% |
2801
222.1 IPS |
|
|
Object Detection (Q)
|
90% |
4571
365.4 IPS |
|
|
Face Detection (SP)
|
100% |
5063
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
8561
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
12865
152.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6560
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10786
83.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
14358
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16129
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22050
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
44893
57.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2663
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3988
147.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7943
294.2 IPS |
|
|
Text Classification (SP)
|
71% |
1012
1.46 KIPS |
|
|
Text Classification (HP)
|
71% |
1414
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
1256
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1967
34.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1930
33.4 IPS |
