LENOVO 82WM
Geekbench ML Score
14011
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 09:52 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82WM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Quiet 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% |
5114
957.1 IPS |
|
|
Image Classification (F16)
|
100% |
7061
1.32 KIPS |
|
|
Image Classification (I8)
|
100% |
6312
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10151
169.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
9963
166.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
8971
149.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
80897
98.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
80170
97.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
72195
87.4 IPS |
|
|
Object Detection (F32)
|
100% |
4975
371.4 IPS |
|
|
Object Detection (F16)
|
100% |
4982
371.9 IPS |
|
|
Object Detection (I8)
|
63% |
4446
331.9 IPS |
|
|
Face Detection (F32)
|
100% |
17247
205.1 IPS |
|
|
Face Detection (F16)
|
100% |
20943
249.0 IPS |
|
|
Face Detection (I8)
|
89% |
17321
205.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
43034
333.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
42978
333.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
36583
283.7 IPS |
|
|
Style Transfer (F32)
|
100% |
181090
238.2 IPS |
|
|
Style Transfer (F16)
|
100% |
123098
161.9 IPS |
|
|
Style Transfer (I8)
|
98% |
107585
141.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25667
916.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26255
937.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19434
694.1 IPS |
|
|
Text Classification (F32)
|
100% |
2130
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
2190
3.15 KIPS |
|
|
Text Classification (I8)
|
98% |
1304
1.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
3744
68.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3731
68.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2059
37.9 IPS |
