LENOVO 83DN
Geekbench ML Score
3089
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 02:43 AM |
| Views | 3 |
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 | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1389
259.9 IPS |
|
|
Image Classification (F16)
|
100% |
1432
268.0 IPS |
|
|
Image Classification (I8)
|
100% |
1255
234.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1534
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1601
26.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1414
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
14196
17.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
14778
17.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
12472
15.1 IPS |
|
|
Object Detection (F32)
|
100% |
1292
96.5 IPS |
|
|
Object Detection (F16)
|
100% |
1334
99.6 IPS |
|
|
Object Detection (I8)
|
54% |
1158
86.4 IPS |
|
|
Face Detection (F32)
|
100% |
1379
16.4 IPS |
|
|
Face Detection (F16)
|
100% |
1375
16.3 IPS |
|
|
Face Detection (I8)
|
89% |
1224
14.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7939
61.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8033
62.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
6682
51.8 IPS |
|
|
Style Transfer (F32)
|
100% |
41065
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
40921
53.8 IPS |
|
|
Style Transfer (I8)
|
98% |
32438
42.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7636
272.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6927
247.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5211
186.1 IPS |
|
|
Text Classification (F32)
|
90% |
775
1.11 KIPS |
|
|
Text Classification (F16)
|
90% |
753
1.08 KIPS |
|
|
Text Classification (I8)
|
90% |
571
820.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1567
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1582
29.1 IPS |
|
|
Machine Translation (I8)
|
70% |
892
16.4 IPS |
