LENOVO 90UT001AUS
Geekbench ML Score
3098
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 07:23 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% |
1763
330.0 IPS |
|
|
Image Classification (F16)
|
100% |
1804
337.5 IPS |
|
|
Image Classification (I8)
|
99% |
3237
605.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1555
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1453
24.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2163
36.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5741
6.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
5743
6.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
19288
23.4 IPS |
|
|
Object Detection (F32)
|
100% |
1549
115.6 IPS |
|
|
Object Detection (F16)
|
100% |
1563
116.7 IPS |
|
|
Object Detection (I8)
|
62% |
1458
108.9 IPS |
|
|
Face Detection (F32)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (F16)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (I8)
|
89% |
3328
39.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6610
51.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6593
51.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
11206
86.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12853
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12475
16.4 IPS |
|
|
Style Transfer (I8)
|
98% |
18837
24.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2623
93.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2488
88.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4095
146.2 IPS |
|
|
Text Classification (F32)
|
100% |
1368
1.97 KIPS |
|
|
Text Classification (F16)
|
100% |
1385
1.99 KIPS |
|
|
Text Classification (I8)
|
98% |
379
544.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1552
28.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1619
29.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2206
40.6 IPS |
