LENOVO 90UT001AUS
Geekbench ML Score
12271
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 07:29 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 | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5093
953.1 IPS |
|
|
Image Classification (F16)
|
100% |
5608
1.05 KIPS |
|
|
Image Classification (I8)
|
100% |
4698
879.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
9122
152.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
8684
145.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
8093
135.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
80263
97.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
78395
94.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
71267
86.3 IPS |
|
|
Object Detection (F32)
|
100% |
4361
325.6 IPS |
|
|
Object Detection (F16)
|
100% |
4475
334.1 IPS |
|
|
Object Detection (I8)
|
61% |
4086
305.1 IPS |
|
|
Face Detection (F32)
|
100% |
15031
178.7 IPS |
|
|
Face Detection (F16)
|
100% |
15339
182.4 IPS |
|
|
Face Detection (I8)
|
89% |
13245
157.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
35947
278.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
32930
255.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
27091
210.1 IPS |
|
|
Style Transfer (F32)
|
100% |
135337
178.0 IPS |
|
|
Style Transfer (F16)
|
100% |
122527
161.2 IPS |
|
|
Style Transfer (I8)
|
98% |
106463
140.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16056
573.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20050
716.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15442
551.5 IPS |
|
|
Text Classification (F32)
|
100% |
2701
3.88 KIPS |
|
|
Text Classification (F16)
|
100% |
2715
3.90 KIPS |
|
|
Text Classification (I8)
|
98% |
1539
2.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
2997
55.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3028
55.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1716
31.6 IPS |
