LIVA Z5 ECS RPLU-MINI
Geekbench AI Score
1503
Single Precision Score
558
Half Precision Score
3762
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Tungsten |
| Upload Date | July 26 2025 04:25 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1315U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ECS RPLU-MINI |
| Motherboard | ECS RPLU-MINI |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1315U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
966
179.7 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
97% |
2921
545.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
2240
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1881
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1216
1.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
6835
8.01 IPS |
|
|
Object Detection (SP)
|
100% |
962
76.3 IPS |
|
|
Object Detection (HP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (Q)
|
86% |
2560
205.8 IPS |
|
|
Face Detection (SP)
|
100% |
1685
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
347
4.13 IPS |
|
|
Face Detection (Q)
|
97% |
7192
85.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2656
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
804
6.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
7156
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4828
6.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3337
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
10097
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
857
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2668
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
1113
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
531
709.1 IPS |
|
|
Text Classification (Q)
|
97% |
1449
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1509
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
65% |
2469
49.6 IPS |
