LENOVO 83DN
Geekbench ML Score
11975
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 11:10 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% |
6117
1.14 KIPS |
|
|
Image Classification (F16)
|
100% |
6188
1.16 KIPS |
|
|
Image Classification (I8)
|
100% |
5469
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8557
142.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8591
143.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
7866
131.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
64262
77.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
64838
78.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
61368
74.3 IPS |
|
|
Object Detection (F32)
|
100% |
4238
316.4 IPS |
|
|
Object Detection (F16)
|
100% |
4443
331.7 IPS |
|
|
Object Detection (I8)
|
61% |
4026
300.6 IPS |
|
|
Face Detection (F32)
|
100% |
16620
197.6 IPS |
|
|
Face Detection (F16)
|
100% |
16667
198.2 IPS |
|
|
Face Detection (I8)
|
89% |
13995
166.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
36447
282.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
35955
278.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
23521
182.4 IPS |
|
|
Style Transfer (F32)
|
100% |
120137
158.0 IPS |
|
|
Style Transfer (F16)
|
100% |
100289
131.9 IPS |
|
|
Style Transfer (I8)
|
98% |
90444
119.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20256
723.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19462
695.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14959
534.2 IPS |
|
|
Text Classification (F32)
|
100% |
2234
3.21 KIPS |
|
|
Text Classification (F16)
|
100% |
2160
3.10 KIPS |
|
|
Text Classification (I8)
|
98% |
1268
1.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
3348
61.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3282
60.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1866
34.3 IPS |
