ECS LIVA Z7 Plus
Geekbench AI Score
2404
Single Precision Score
1135
Half Precision Score
3739
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | skikitt |
| Upload Date | October 01 2024 09:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (Q)
|
99% |
2752
513.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2861
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4503
5.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3281
3.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
16625
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
482
38.3 IPS |
|
|
Object Detection (Q)
|
88% |
1468
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
2634
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
3417
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5102
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1780
13.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
6521
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10891
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8075
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16481
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3165
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
1303
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
505
673.9 IPS |
|
|
Text Classification (Q)
|
97% |
1240
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.55 IPS |
|
|
Machine Translation (Q)
|
60% |
1930
43.1 IPS |
