LENOVO 83DJ
Geekbench ML Score
1683
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 02:39 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
613
114.7 IPS |
|
|
Image Classification (F16)
|
100% |
630
117.8 IPS |
|
|
Image Classification (I8)
|
100% |
565
105.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
779
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
788
13.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
722
12.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6863
8.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
7010
8.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
6357
7.70 IPS |
|
|
Object Detection (F32)
|
100% |
627
46.8 IPS |
|
|
Object Detection (F16)
|
100% |
631
47.1 IPS |
|
|
Object Detection (I8)
|
54% |
582
43.5 IPS |
|
|
Face Detection (F32)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (I8)
|
89% |
914
10.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3607
28.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3629
28.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3158
24.5 IPS |
|
|
Style Transfer (F32)
|
100% |
19651
25.8 IPS |
|
|
Style Transfer (F16)
|
100% |
19606
25.8 IPS |
|
|
Style Transfer (I8)
|
98% |
16244
21.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3922
140.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3681
131.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2627
93.8 IPS |
|
|
Text Classification (F32)
|
90% |
623
895.6 IPS |
|
|
Text Classification (F16)
|
90% |
624
897.0 IPS |
|
|
Text Classification (I8)
|
90% |
442
635.0 IPS |
|
|
Machine Translation (F32)
|
100% |
961
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
961
17.7 IPS |
|
|
Machine Translation (I8)
|
70% |
580
10.7 IPS |
