LENOVO 90W20081GF
Geekbench ML Score
1486
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 29 2025 07:46 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90W20081GF |
| Motherboard | LENOVO 333E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
719
134.5 IPS |
|
|
Image Classification (F16)
|
100% |
711
133.1 IPS |
|
|
Image Classification (I8)
|
100% |
575
107.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
994
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1013
16.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
766
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5705
6.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
5686
6.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
3671
4.45 IPS |
|
|
Object Detection (F32)
|
100% |
829
61.9 IPS |
|
|
Object Detection (F16)
|
100% |
803
59.9 IPS |
|
|
Object Detection (I8)
|
54% |
684
51.0 IPS |
|
|
Face Detection (F32)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (F16)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (I8)
|
89% |
905
10.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3289
25.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3323
25.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
2504
19.4 IPS |
|
|
Style Transfer (F32)
|
100% |
12709
16.7 IPS |
|
|
Style Transfer (F16)
|
100% |
12731
16.7 IPS |
|
|
Style Transfer (I8)
|
98% |
8732
11.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2105
75.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2152
76.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1065
38.0 IPS |
|
|
Text Classification (F32)
|
100% |
769
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
774
1.11 KIPS |
|
|
Text Classification (I8)
|
98% |
395
567.0 IPS |
|
|
Machine Translation (F32)
|
100% |
660
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
666
12.3 IPS |
|
|
Machine Translation (I8)
|
70% |
387
7.13 IPS |
