LENOVO 83E6
Geekbench ML Score
1630
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 03 2024 12:44 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83E6 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 3 100U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 10.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
786
147.1 IPS |
|
|
Image Classification (F16)
|
100% |
771
144.3 IPS |
|
|
Image Classification (I8)
|
100% |
625
116.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1145
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1149
19.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
870
14.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6859
8.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
6899
8.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
4010
4.86 IPS |
|
|
Object Detection (F32)
|
100% |
824
61.5 IPS |
|
|
Object Detection (F16)
|
100% |
895
66.8 IPS |
|
|
Object Detection (I8)
|
54% |
705
52.6 IPS |
|
|
Face Detection (F32)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (F16)
|
100% |
1638
19.5 IPS |
|
|
Face Detection (I8)
|
89% |
1107
13.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3803
29.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3815
29.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2771
21.5 IPS |
|
|
Style Transfer (F32)
|
100% |
15266
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
15144
19.9 IPS |
|
|
Style Transfer (I8)
|
98% |
9827
12.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2300
82.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2323
82.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1072
38.3 IPS |
|
|
Text Classification (F32)
|
100% |
727
1.04 KIPS |
|
|
Text Classification (F16)
|
100% |
730
1.05 KIPS |
|
|
Text Classification (I8)
|
98% |
343
493.6 IPS |
|
|
Machine Translation (F32)
|
100% |
693
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
712
13.1 IPS |
|
|
Machine Translation (I8)
|
70% |
395
7.28 IPS |
