ECS LIVA Z7 Plus
Geekbench AI Score
2210
Single Precision Score
2205
Half Precision Score
5717
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | skikitt |
| Upload Date | October 01 2024 09:14 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ECS LIVA Z7 Plus |
| Motherboard | ECS MTLH-MINI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (Q)
|
100% |
3654
679.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1687
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3288
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3178
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3168
3.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
11868
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (Q)
|
88% |
3627
290.8 IPS |
|
|
Face Detection (SP)
|
100% |
4002
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (Q)
|
100% |
8035
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3883
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3845
29.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
9944
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9229
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8871
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32044
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1829
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6157
228.0 IPS |
|
|
Text Classification (SP)
|
100% |
586
781.5 IPS |
|
|
Text Classification (HP)
|
100% |
579
773.2 IPS |
|
|
Text Classification (Q)
|
92% |
2573
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1877
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1779
30.6 IPS |
