ECS LIVA Z7 Plus
Geekbench AI Score
2362
Single Precision Score
1046
Half Precision Score
3668
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | skikitt |
| Upload Date | October 01 2024 10:09 AM |
| Views | 12 |
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% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.7 IPS |
|
|
Image Classification (Q)
|
99% |
2790
520.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1013
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2814
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4505
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2807
3.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
16543
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
100% |
443
35.1 IPS |
|
|
Object Detection (Q)
|
88% |
1415
113.4 IPS |
|
|
Face Detection (SP)
|
100% |
2706
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
3382
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5008
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1555
12.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
6569
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10494
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7788
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14938
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2053
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3040
112.6 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.9 IPS |
|
|
Text Classification (Q)
|
97% |
1347
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (Q)
|
60% |
1766
39.4 IPS |
