LIVA Z5 [Win 11] ECS RPLU-MINI
Geekbench AI Score
3230
Single Precision Score
4516
Half Precision Score
7075
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | March 29 2026 09:40 AM |
| 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
352.4 IPS |
|
|
Image Classification (HP)
|
100% |
2771
515.4 IPS |
|
|
Image Classification (Q)
|
99% |
3973
741.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4636
75.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5701
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6090
7.11 IPS |
|
|
Pose Estimation (HP)
|
99% |
4408
5.14 IPS |
|
|
Pose Estimation (Q)
|
97% |
19687
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1861
147.6 IPS |
|
|
Object Detection (HP)
|
100% |
2822
223.8 IPS |
|
|
Object Detection (Q)
|
90% |
4414
352.9 IPS |
|
|
Face Detection (SP)
|
100% |
5064
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
8438
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
12906
153.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6455
49.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10763
83.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
14713
114.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16277
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22099
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
45243
58.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2673
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4107
151.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8209
304.0 IPS |
|
|
Text Classification (SP)
|
71% |
1038
1.50 KIPS |
|
|
Text Classification (HP)
|
71% |
1378
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
1170
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1948
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1935
33.4 IPS |
