LENOVO 83BU
Geekbench ML Score
2577
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 03 2025 02:37 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83BU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13705H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1129
211.4 IPS |
|
|
Image Classification (F16)
|
100% |
1320
246.9 IPS |
|
|
Image Classification (I8)
|
100% |
1039
194.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1775
29.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1955
32.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1455
24.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
12637
15.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
12931
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
6207
7.52 IPS |
|
|
Object Detection (F32)
|
100% |
1161
86.7 IPS |
|
|
Object Detection (F16)
|
100% |
1511
112.8 IPS |
|
|
Object Detection (I8)
|
54% |
1012
75.6 IPS |
|
|
Face Detection (F32)
|
100% |
2839
33.8 IPS |
|
|
Face Detection (F16)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (I8)
|
89% |
1958
23.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6113
47.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6526
50.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
4529
35.1 IPS |
|
|
Style Transfer (F32)
|
100% |
26436
34.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27510
36.2 IPS |
|
|
Style Transfer (I8)
|
98% |
16973
22.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3742
133.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3937
140.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1685
60.2 IPS |
|
|
Text Classification (F32)
|
100% |
773
1.11 KIPS |
|
|
Text Classification (F16)
|
100% |
927
1.33 KIPS |
|
|
Text Classification (I8)
|
98% |
507
728.1 IPS |
|
|
Machine Translation (F32)
|
100% |
905
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1000
18.4 IPS |
|
|
Machine Translation (I8)
|
70% |
529
9.73 IPS |
