LENOVO 83E6
Geekbench ML Score
1650
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 03 2024 12:48 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% |
790
147.9 IPS |
|
|
Image Classification (F16)
|
100% |
780
146.0 IPS |
|
|
Image Classification (I8)
|
100% |
634
118.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1141
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1177
19.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
857
14.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6711
8.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
6863
8.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
4019
4.87 IPS |
|
|
Object Detection (F32)
|
100% |
824
61.5 IPS |
|
|
Object Detection (F16)
|
100% |
960
71.7 IPS |
|
|
Object Detection (I8)
|
54% |
702
52.4 IPS |
|
|
Face Detection (F32)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (F16)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (I8)
|
89% |
1117
13.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3854
29.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3840
29.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
2823
21.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15123
19.9 IPS |
|
|
Style Transfer (F16)
|
100% |
15141
19.9 IPS |
|
|
Style Transfer (I8)
|
98% |
9979
13.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2306
82.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2314
82.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1092
39.0 IPS |
|
|
Text Classification (F32)
|
100% |
737
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
794
1.14 KIPS |
|
|
Text Classification (I8)
|
98% |
360
516.9 IPS |
|
|
Machine Translation (F32)
|
100% |
727
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
721
13.3 IPS |
|
|
Machine Translation (I8)
|
70% |
395
7.27 IPS |
