LENOVO 83DN
Geekbench ML Score
12085
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 11:00 AM |
| Views | 6 |
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% |
5931
1.11 KIPS |
|
|
Image Classification (F16)
|
100% |
6258
1.17 KIPS |
|
|
Image Classification (I8)
|
100% |
5602
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10255
171.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
8369
139.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
7507
125.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
64607
78.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
64707
78.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
57441
69.6 IPS |
|
|
Object Detection (F32)
|
100% |
4403
328.7 IPS |
|
|
Object Detection (F16)
|
100% |
4346
324.4 IPS |
|
|
Object Detection (I8)
|
61% |
4201
313.6 IPS |
|
|
Face Detection (F32)
|
100% |
16105
191.5 IPS |
|
|
Face Detection (F16)
|
100% |
17334
206.1 IPS |
|
|
Face Detection (I8)
|
89% |
13763
163.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
35363
274.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
35068
272.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
30980
240.2 IPS |
|
|
Style Transfer (F32)
|
100% |
100263
131.9 IPS |
|
|
Style Transfer (F16)
|
100% |
99284
130.6 IPS |
|
|
Style Transfer (I8)
|
98% |
91666
120.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19700
703.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20151
719.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14742
526.5 IPS |
|
|
Text Classification (F32)
|
100% |
2207
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2301
3.31 KIPS |
|
|
Text Classification (I8)
|
98% |
1319
1.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
3333
61.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3339
61.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1934
35.6 IPS |
