LENOVO 82WM
Geekbench ML Score
13544
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 04:07 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82WM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7745HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7916
1.48 KIPS |
|
|
Image Classification (F16)
|
100% |
6533
1.22 KIPS |
|
|
Image Classification (I8)
|
100% |
5793
1.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10075
168.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
9380
156.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
7366
123.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
61647
74.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
94675
114.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
71874
87.0 IPS |
|
|
Object Detection (F32)
|
100% |
4777
356.6 IPS |
|
|
Object Detection (F16)
|
100% |
5208
388.8 IPS |
|
|
Object Detection (I8)
|
63% |
3785
282.6 IPS |
|
|
Face Detection (F32)
|
100% |
18385
218.6 IPS |
|
|
Face Detection (F16)
|
100% |
18276
217.3 IPS |
|
|
Face Detection (I8)
|
89% |
17242
205.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
44493
345.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
43856
340.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
32052
248.6 IPS |
|
|
Style Transfer (F32)
|
100% |
162094
213.2 IPS |
|
|
Style Transfer (F16)
|
100% |
108041
142.1 IPS |
|
|
Style Transfer (I8)
|
98% |
134707
177.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25185
899.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25241
901.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16601
592.9 IPS |
|
|
Text Classification (F32)
|
100% |
1467
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
2200
3.16 KIPS |
|
|
Text Classification (I8)
|
98% |
1437
2.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
3616
66.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3578
65.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2013
37.0 IPS |
