ECS LIVA Z7 Plus
Geekbench ML Score
2204
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 02 2024 05:49 PM |
| Views | 2 |
System Information
| 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 |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
919
171.9 IPS |
|
|
Image Classification (F16)
|
100% |
885
165.5 IPS |
|
|
Image Classification (I8)
|
99% |
1914
358.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
957
16.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
897
15.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2498
41.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3898
4.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
3792
4.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
16697
20.2 IPS |
|
|
Object Detection (F32)
|
100% |
938
70.0 IPS |
|
|
Object Detection (F16)
|
100% |
939
70.1 IPS |
|
|
Object Detection (I8)
|
62% |
925
69.1 IPS |
|
|
Face Detection (F32)
|
100% |
2253
26.8 IPS |
|
|
Face Detection (F16)
|
100% |
2245
26.7 IPS |
|
|
Face Detection (I8)
|
89% |
3442
40.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3305
25.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3339
25.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
7774
60.3 IPS |
|
|
Style Transfer (F32)
|
100% |
7908
10.4 IPS |
|
|
Style Transfer (F16)
|
100% |
7552
9.93 IPS |
|
|
Style Transfer (I8)
|
98% |
15240
20.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2537
90.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1677
59.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3543
126.5 IPS |
|
|
Text Classification (F32)
|
100% |
533
765.6 IPS |
|
|
Text Classification (F16)
|
100% |
649
932.9 IPS |
|
|
Text Classification (I8)
|
98% |
953
1.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
1268
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1278
23.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2693
49.6 IPS |
