LENOVO 83HM
Geekbench ML Score
5271
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 08 2024 04:26 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 256V |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3730
698.0 IPS |
|
|
Image Classification (F16)
|
100% |
3577
669.4 IPS |
|
|
Image Classification (I8)
|
100% |
2255
422.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
5980
99.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
6007
100.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
4400
73.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
19954
24.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
19881
24.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
16821
20.4 IPS |
|
|
Object Detection (F32)
|
100% |
2845
212.4 IPS |
|
|
Object Detection (F16)
|
100% |
2797
208.8 IPS |
|
|
Object Detection (I8)
|
61% |
2455
183.3 IPS |
|
|
Face Detection (F32)
|
100% |
7596
90.3 IPS |
|
|
Face Detection (F16)
|
100% |
7692
91.5 IPS |
|
|
Face Detection (I8)
|
89% |
4943
58.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
17422
135.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17100
132.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
14193
110.1 IPS |
|
|
Style Transfer (F32)
|
100% |
50028
65.8 IPS |
|
|
Style Transfer (F16)
|
100% |
50357
66.2 IPS |
|
|
Style Transfer (I8)
|
98% |
37074
48.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7358
262.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7138
254.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4603
164.4 IPS |
|
|
Text Classification (F32)
|
100% |
588
845.7 IPS |
|
|
Text Classification (F16)
|
100% |
696
1.00 KIPS |
|
|
Text Classification (I8)
|
98% |
414
594.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1459
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1436
26.4 IPS |
|
|
Machine Translation (I8)
|
70% |
752
13.8 IPS |
