LENOVO 83HM
Geekbench ML Score
5230
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 08 2025 05:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3279
613.7 IPS |
|
|
Image Classification (F16)
|
100% |
2426
453.9 IPS |
|
|
Image Classification (I8)
|
100% |
2585
483.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
5837
97.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
6032
100.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
4505
75.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
20671
25.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
19577
23.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
15512
18.8 IPS |
|
|
Object Detection (F32)
|
100% |
2795
208.7 IPS |
|
|
Object Detection (F16)
|
100% |
2780
207.6 IPS |
|
|
Object Detection (I8)
|
61% |
2286
170.6 IPS |
|
|
Face Detection (F32)
|
100% |
7738
92.0 IPS |
|
|
Face Detection (F16)
|
100% |
7637
90.8 IPS |
|
|
Face Detection (I8)
|
89% |
4924
58.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
17665
137.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17504
135.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
14319
111.0 IPS |
|
|
Style Transfer (F32)
|
100% |
47872
63.0 IPS |
|
|
Style Transfer (F16)
|
100% |
48453
63.7 IPS |
|
|
Style Transfer (I8)
|
98% |
38547
50.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6990
249.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7742
276.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4589
163.9 IPS |
|
|
Text Classification (F32)
|
100% |
590
847.9 IPS |
|
|
Text Classification (F16)
|
100% |
556
798.9 IPS |
|
|
Text Classification (I8)
|
98% |
531
762.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1450
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1711
31.5 IPS |
|
|
Machine Translation (I8)
|
70% |
799
14.7 IPS |
