LENOVO 90UT001AUS
Geekbench ML Score
3013
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 07:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90UT001AUS |
| Motherboard | LENOVO 3769 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 20.0 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% |
1724
322.6 IPS |
|
|
Image Classification (F16)
|
100% |
1672
312.9 IPS |
|
|
Image Classification (I8)
|
99% |
2995
560.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1427
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2188
36.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5355
6.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
5695
6.90 IPS |
|
|
Pose Estimation (I8)
|
100% |
17249
20.9 IPS |
|
|
Object Detection (F32)
|
100% |
1667
124.5 IPS |
|
|
Object Detection (F16)
|
100% |
1581
118.0 IPS |
|
|
Object Detection (I8)
|
62% |
1468
109.6 IPS |
|
|
Face Detection (F32)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (F16)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (I8)
|
89% |
3488
41.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5793
44.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6212
48.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
11602
90.0 IPS |
|
|
Style Transfer (F32)
|
100% |
11882
15.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11884
15.6 IPS |
|
|
Style Transfer (I8)
|
98% |
17174
22.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2608
93.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2431
86.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3595
128.4 IPS |
|
|
Text Classification (F32)
|
100% |
1355
1.95 KIPS |
|
|
Text Classification (F16)
|
100% |
1315
1.89 KIPS |
|
|
Text Classification (I8)
|
98% |
405
582.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1537
28.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1669
30.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2202
40.5 IPS |
