LENOVO 83DN
Geekbench ML Score
11924
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 11:06 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6165
1.15 KIPS |
|
|
Image Classification (F16)
|
100% |
6165
1.15 KIPS |
|
|
Image Classification (I8)
|
100% |
5491
1.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9712
162.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8669
144.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
7629
127.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
64017
77.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
64543
78.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
57239
69.3 IPS |
|
|
Object Detection (F32)
|
100% |
4094
305.6 IPS |
|
|
Object Detection (F16)
|
100% |
4353
324.9 IPS |
|
|
Object Detection (I8)
|
61% |
4074
304.1 IPS |
|
|
Face Detection (F32)
|
100% |
16661
198.1 IPS |
|
|
Face Detection (F16)
|
100% |
16013
190.4 IPS |
|
|
Face Detection (I8)
|
89% |
13299
158.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
35676
276.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
27048
209.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
25429
197.2 IPS |
|
|
Style Transfer (F32)
|
100% |
128801
169.4 IPS |
|
|
Style Transfer (F16)
|
100% |
100371
132.0 IPS |
|
|
Style Transfer (I8)
|
98% |
91211
120.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19720
704.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19734
704.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15232
544.0 IPS |
|
|
Text Classification (F32)
|
100% |
2229
3.20 KIPS |
|
|
Text Classification (F16)
|
100% |
2320
3.33 KIPS |
|
|
Text Classification (I8)
|
98% |
1310
1.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
3379
62.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3297
60.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1860
34.2 IPS |
