LENOVO 83HM
Geekbench ML Score
3416
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 09 2024 03:49 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1754
328.1 IPS |
|
|
Image Classification (F16)
|
100% |
1720
321.8 IPS |
|
|
Image Classification (I8)
|
99% |
3241
606.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1588
26.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1583
26.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2578
43.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4932
5.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
5054
6.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
17705
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1737
129.7 IPS |
|
|
Object Detection (F16)
|
100% |
1787
133.4 IPS |
|
|
Object Detection (I8)
|
62% |
1735
129.6 IPS |
|
|
Face Detection (F32)
|
100% |
3679
43.7 IPS |
|
|
Face Detection (F16)
|
100% |
3718
44.2 IPS |
|
|
Face Detection (I8)
|
89% |
4332
51.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6202
48.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6219
48.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
12719
98.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12255
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12214
16.1 IPS |
|
|
Style Transfer (I8)
|
98% |
20684
27.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2731
97.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2679
95.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4687
167.4 IPS |
|
|
Text Classification (F32)
|
100% |
1289
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
1336
1.92 KIPS |
|
|
Text Classification (I8)
|
98% |
1159
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1992
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2005
36.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2757
50.7 IPS |
