LENOVO 83DN
Geekbench ML Score
3320
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 26 2025 12:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83DN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 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% |
1373
257.0 IPS |
|
|
Image Classification (F16)
|
100% |
1540
288.1 IPS |
|
|
Image Classification (I8)
|
99% |
2671
499.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1383
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1560
26.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2985
49.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6194
7.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
5927
7.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
20858
25.3 IPS |
|
|
Object Detection (F32)
|
100% |
1407
105.0 IPS |
|
|
Object Detection (F16)
|
100% |
1663
124.1 IPS |
|
|
Object Detection (I8)
|
62% |
1501
112.0 IPS |
|
|
Face Detection (F32)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (F16)
|
100% |
3702
44.0 IPS |
|
|
Face Detection (I8)
|
89% |
3982
47.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6421
49.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6560
50.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
12621
97.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15275
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
15129
19.9 IPS |
|
|
Style Transfer (I8)
|
98% |
20110
26.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2683
95.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2628
93.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4656
166.3 IPS |
|
|
Text Classification (F32)
|
100% |
1004
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1190
1.71 KIPS |
|
|
Text Classification (I8)
|
98% |
1068
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1654
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1692
31.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2880
53.0 IPS |
