LENOVO 83DN
Geekbench ML Score
3408
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 09:11 AM |
| 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% |
1647
308.2 IPS |
|
|
Image Classification (F16)
|
100% |
1668
312.2 IPS |
|
|
Image Classification (I8)
|
99% |
3093
578.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1376
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1540
25.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2833
47.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5646
6.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
5886
7.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
23243
28.1 IPS |
|
|
Object Detection (F32)
|
100% |
1559
116.4 IPS |
|
|
Object Detection (F16)
|
100% |
1670
124.6 IPS |
|
|
Object Detection (I8)
|
62% |
1570
117.2 IPS |
|
|
Face Detection (F32)
|
100% |
3707
44.1 IPS |
|
|
Face Detection (F16)
|
100% |
3691
43.9 IPS |
|
|
Face Detection (I8)
|
89% |
3907
46.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6984
54.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6746
52.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
12329
95.6 IPS |
|
|
Style Transfer (F32)
|
100% |
15537
20.4 IPS |
|
|
Style Transfer (F16)
|
100% |
15381
20.2 IPS |
|
|
Style Transfer (I8)
|
98% |
19964
26.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2680
95.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2604
93.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4639
165.7 IPS |
|
|
Text Classification (F32)
|
100% |
1147
1.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1170
1.68 KIPS |
|
|
Text Classification (I8)
|
98% |
1088
1.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
1652
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1682
31.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3025
55.7 IPS |
