LENOVO 83CX
Geekbench ML Score
3440
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2025 08:12 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83CX |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1631
305.2 IPS |
|
|
Image Classification (F16)
|
100% |
1739
325.4 IPS |
|
|
Image Classification (I8)
|
99% |
3237
605.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1612
26.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1547
25.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2588
43.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4967
6.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
5064
6.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
18160
22.0 IPS |
|
|
Object Detection (F32)
|
100% |
1740
129.9 IPS |
|
|
Object Detection (F16)
|
100% |
1769
132.0 IPS |
|
|
Object Detection (I8)
|
62% |
1776
132.6 IPS |
|
|
Face Detection (F32)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (F16)
|
100% |
4002
47.6 IPS |
|
|
Face Detection (I8)
|
89% |
4431
52.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6186
48.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6241
48.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
12860
99.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12411
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
12157
16.0 IPS |
|
|
Style Transfer (I8)
|
98% |
21693
28.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2781
99.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2649
94.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4694
167.7 IPS |
|
|
Text Classification (F32)
|
100% |
1291
1.86 KIPS |
|
|
Text Classification (F16)
|
100% |
1336
1.92 KIPS |
|
|
Text Classification (I8)
|
98% |
1140
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
2007
36.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1994
36.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2709
49.9 IPS |
