LENOVO 83E1
Geekbench ML Score
5412
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2024 11:29 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83E1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z1 Extreme |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 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 | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3070
574.6 IPS |
|
|
Image Classification (F16)
|
100% |
3047
570.2 IPS |
|
|
Image Classification (I8)
|
100% |
2661
498.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2912
48.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2912
48.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2508
41.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
37088
44.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
39834
48.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
31154
37.7 IPS |
|
|
Object Detection (F32)
|
100% |
1862
139.0 IPS |
|
|
Object Detection (F16)
|
100% |
1572
117.4 IPS |
|
|
Object Detection (I8)
|
62% |
1852
138.2 IPS |
|
|
Face Detection (F32)
|
100% |
6104
72.6 IPS |
|
|
Face Detection (F16)
|
100% |
5949
70.7 IPS |
|
|
Face Detection (I8)
|
89% |
4729
56.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
17010
131.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17434
135.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
14154
109.8 IPS |
|
|
Style Transfer (F32)
|
100% |
30730
40.4 IPS |
|
|
Style Transfer (F16)
|
100% |
30509
40.1 IPS |
|
|
Style Transfer (I8)
|
98% |
26713
35.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5989
213.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6065
216.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4654
166.2 IPS |
|
|
Text Classification (F32)
|
100% |
1485
2.13 KIPS |
|
|
Text Classification (F16)
|
100% |
1453
2.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1223
1.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
2335
43.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2390
44.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1695
31.2 IPS |
