LENOVO Test
Geekbench ML Score
2191
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 16 2024 02:50 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO Test |
| Motherboard | LENOVO 313A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 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% |
1446
270.6 IPS |
|
|
Image Classification (F16)
|
100% |
1467
274.5 IPS |
|
|
Image Classification (I8)
|
97% |
2014
376.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
982
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
997
16.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1395
23.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4448
5.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
3589
4.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
7057
8.55 IPS |
|
|
Object Detection (F32)
|
100% |
1091
81.4 IPS |
|
|
Object Detection (F16)
|
100% |
1258
93.9 IPS |
|
|
Object Detection (I8)
|
60% |
1220
91.0 IPS |
|
|
Face Detection (F32)
|
100% |
1721
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (I8)
|
87% |
2710
32.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4668
36.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4477
34.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
7056
54.7 IPS |
|
|
Style Transfer (F32)
|
100% |
9863
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
8571
11.3 IPS |
|
|
Style Transfer (I8)
|
85% |
10797
14.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1689
60.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2081
74.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2352
84.0 IPS |
|
|
Text Classification (F32)
|
100% |
1269
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
1033
1.48 KIPS |
|
|
Text Classification (I8)
|
94% |
342
492.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1503
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1525
28.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1737
32.0 IPS |
