LENOVO 83HM
Geekbench ML Score
5305
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 08 2024 04:25 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% |
3643
681.8 IPS |
|
|
Image Classification (F16)
|
100% |
3676
687.9 IPS |
|
|
Image Classification (I8)
|
100% |
2681
501.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
5862
97.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
5839
97.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
4487
74.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
19962
24.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
20277
24.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
16652
20.2 IPS |
|
|
Object Detection (F32)
|
100% |
2792
208.5 IPS |
|
|
Object Detection (F16)
|
100% |
2766
206.5 IPS |
|
|
Object Detection (I8)
|
61% |
2459
183.6 IPS |
|
|
Face Detection (F32)
|
100% |
7488
89.0 IPS |
|
|
Face Detection (F16)
|
100% |
7652
91.0 IPS |
|
|
Face Detection (I8)
|
89% |
5055
60.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
18195
141.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17382
134.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
14341
111.2 IPS |
|
|
Style Transfer (F32)
|
100% |
45836
60.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47281
62.2 IPS |
|
|
Style Transfer (I8)
|
98% |
37547
49.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7384
263.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8108
289.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4836
172.7 IPS |
|
|
Text Classification (F32)
|
100% |
536
769.9 IPS |
|
|
Text Classification (F16)
|
100% |
727
1.04 KIPS |
|
|
Text Classification (I8)
|
98% |
387
556.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1482
27.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1433
26.4 IPS |
|
|
Machine Translation (I8)
|
70% |
787
14.5 IPS |
