LENOVO 90UT001AUS
Geekbench ML Score
3078
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 07:24 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% |
1729
323.6 IPS |
|
|
Image Classification (F16)
|
100% |
1637
306.3 IPS |
|
|
Image Classification (I8)
|
99% |
3002
561.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1469
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1433
23.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2176
36.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5012
6.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
5244
6.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
17113
20.7 IPS |
|
|
Object Detection (F32)
|
100% |
1772
132.3 IPS |
|
|
Object Detection (F16)
|
100% |
1816
135.6 IPS |
|
|
Object Detection (I8)
|
62% |
1466
109.5 IPS |
|
|
Face Detection (F32)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (F16)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (I8)
|
89% |
3341
39.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5785
44.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6407
49.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
11477
89.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12619
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12172
16.0 IPS |
|
|
Style Transfer (I8)
|
98% |
16870
22.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2897
103.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2561
91.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3978
142.1 IPS |
|
|
Text Classification (F32)
|
100% |
1390
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1412
2.03 KIPS |
|
|
Text Classification (I8)
|
98% |
402
577.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1708
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1617
29.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2448
45.1 IPS |
