LENOVO 83DJ
Geekbench ML Score
2760
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 27 2024 03:31 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1282
239.9 IPS |
|
|
Image Classification (F16)
|
100% |
1296
242.5 IPS |
|
|
Image Classification (I8)
|
100% |
1168
218.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1517
25.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1481
24.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1333
22.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
13495
16.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
13677
16.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11856
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1162
86.8 IPS |
|
|
Object Detection (F16)
|
100% |
1170
87.4 IPS |
|
|
Object Detection (I8)
|
54% |
989
73.8 IPS |
|
|
Face Detection (F32)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (I8)
|
89% |
1155
13.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7162
55.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6699
52.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
6165
47.8 IPS |
|
|
Style Transfer (F32)
|
100% |
35462
46.6 IPS |
|
|
Style Transfer (F16)
|
100% |
21655
28.5 IPS |
|
|
Style Transfer (I8)
|
98% |
30036
39.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6898
246.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7213
257.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4799
171.4 IPS |
|
|
Text Classification (F32)
|
90% |
646
928.5 IPS |
|
|
Text Classification (F16)
|
90% |
697
1.00 KIPS |
|
|
Text Classification (I8)
|
90% |
544
782.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1095
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1444
26.6 IPS |
|
|
Machine Translation (I8)
|
70% |
840
15.5 IPS |
