LIVA Z5 [Win 11] ECS RPLU-MINI
Geekbench AI Score
3164
Single Precision Score
4490
Half Precision Score
7124
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | March 29 2026 01:30 AM |
| Views | 15 |
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% |
1933
359.5 IPS |
|
|
Image Classification (HP)
|
100% |
2815
523.4 IPS |
|
|
Image Classification (Q)
|
99% |
4168
777.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4676
75.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5731
92.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6071
7.08 IPS |
|
|
Pose Estimation (HP)
|
99% |
4370
5.10 IPS |
|
|
Pose Estimation (Q)
|
97% |
19714
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
1864
147.9 IPS |
|
|
Object Detection (HP)
|
100% |
2815
223.3 IPS |
|
|
Object Detection (Q)
|
90% |
4512
360.7 IPS |
|
|
Face Detection (SP)
|
100% |
5041
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
8528
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
12714
151.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6572
50.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10729
82.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
14636
113.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15884
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23563
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
44580
57.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2677
98.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3983
147.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7936
293.9 IPS |
|
|
Text Classification (SP)
|
71% |
1026
1.48 KIPS |
|
|
Text Classification (HP)
|
71% |
1207
1.75 KIPS |
|
|
Text Classification (Q)
|
92% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1985
34.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1970
34.0 IPS |
