LENOVO 82B5
Geekbench ML Score
4928
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 06:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82B5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Energy Star |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2262
423.2 IPS |
|
|
Image Classification (F16)
|
100% |
2288
428.1 IPS |
|
|
Image Classification (I8)
|
100% |
1879
351.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3365
56.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3380
56.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2958
49.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22152
26.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
23762
28.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
21188
25.7 IPS |
|
|
Object Detection (F32)
|
100% |
1911
142.7 IPS |
|
|
Object Detection (F16)
|
100% |
1935
144.5 IPS |
|
|
Object Detection (I8)
|
60% |
1737
129.7 IPS |
|
|
Face Detection (F32)
|
100% |
6102
72.6 IPS |
|
|
Face Detection (F16)
|
100% |
6075
72.2 IPS |
|
|
Face Detection (I8)
|
89% |
5040
59.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
13694
106.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
13737
106.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
11048
85.7 IPS |
|
|
Style Transfer (F32)
|
100% |
42949
56.5 IPS |
|
|
Style Transfer (F16)
|
100% |
43983
57.9 IPS |
|
|
Style Transfer (I8)
|
98% |
37554
49.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8862
316.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7358
262.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5205
185.9 IPS |
|
|
Text Classification (F32)
|
100% |
1107
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
1383
1.99 KIPS |
|
|
Text Classification (I8)
|
98% |
638
916.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1689
31.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1692
31.1 IPS |
|
|
Machine Translation (I8)
|
70% |
986
18.2 IPS |
