LENOVO 83D4
Geekbench ML Score
4062
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 25 2024 09:11 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83D4 |
| 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% |
2127
398.1 IPS |
|
|
Image Classification (F16)
|
100% |
2192
410.1 IPS |
|
|
Image Classification (I8)
|
100% |
1790
334.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2833
47.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2877
48.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2412
40.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
17445
21.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
17230
20.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13409
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
2109
157.5 IPS |
|
|
Object Detection (F16)
|
100% |
2013
150.2 IPS |
|
|
Object Detection (I8)
|
54% |
1715
128.0 IPS |
|
|
Face Detection (F32)
|
100% |
4726
56.2 IPS |
|
|
Face Detection (F16)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (I8)
|
89% |
3273
38.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
10176
78.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10275
79.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
8091
62.7 IPS |
|
|
Style Transfer (F32)
|
100% |
44485
58.5 IPS |
|
|
Style Transfer (F16)
|
100% |
42903
56.4 IPS |
|
|
Style Transfer (I8)
|
98% |
33510
44.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6683
238.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7388
263.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4417
157.8 IPS |
|
|
Text Classification (F32)
|
90% |
720
1.03 KIPS |
|
|
Text Classification (F16)
|
90% |
717
1.03 KIPS |
|
|
Text Classification (I8)
|
90% |
546
784.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1409
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1308
24.1 IPS |
|
|
Machine Translation (I8)
|
70% |
856
15.7 IPS |
