LENOVO 83HM
Geekbench ML Score
5172
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 09 2024 05:09 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% |
3528
660.3 IPS |
|
|
Image Classification (F16)
|
100% |
2522
472.0 IPS |
|
|
Image Classification (I8)
|
100% |
2225
416.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
5959
99.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
5998
100.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
4497
75.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
19922
24.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
19579
23.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
16424
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
2797
208.8 IPS |
|
|
Object Detection (F16)
|
100% |
2912
217.4 IPS |
|
|
Object Detection (I8)
|
61% |
2353
175.6 IPS |
|
|
Face Detection (F32)
|
100% |
7164
85.2 IPS |
|
|
Face Detection (F16)
|
100% |
7015
83.4 IPS |
|
|
Face Detection (I8)
|
89% |
4966
59.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
17027
132.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
16939
131.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
13165
102.1 IPS |
|
|
Style Transfer (F32)
|
100% |
47702
62.7 IPS |
|
|
Style Transfer (F16)
|
100% |
46137
60.7 IPS |
|
|
Style Transfer (I8)
|
98% |
36886
48.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7302
260.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8067
288.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4568
163.1 IPS |
|
|
Text Classification (F32)
|
100% |
600
862.2 IPS |
|
|
Text Classification (F16)
|
100% |
755
1.08 KIPS |
|
|
Text Classification (I8)
|
98% |
443
637.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1469
27.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1457
26.8 IPS |
|
|
Machine Translation (I8)
|
70% |
743
13.7 IPS |
