LIVA Z5 ECS RPLU-MINI
Geekbench AI Score
1257
Single Precision Score
1236
Half Precision Score
804
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Tungsten |
| Upload Date | July 26 2025 04:02 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
873
162.4 IPS |
|
|
Image Classification (HP)
|
100% |
880
163.7 IPS |
|
|
Image Classification (Q)
|
99% |
560
104.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
657
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1570
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1277
1.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
1168
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
908
72.0 IPS |
|
|
Object Detection (HP)
|
100% |
860
68.2 IPS |
|
|
Object Detection (Q)
|
85% |
557
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
1602
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
1374
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1490
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1463
11.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1106
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2118
2.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2128
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
2703
3.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
941
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
723
26.8 IPS |
|
|
Text Classification (SP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (Q)
|
92% |
391
524.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1428
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (Q)
|
58% |
410
9.62 IPS |
