LENOVO 21LE
Geekbench ML Score
3886
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 08:41 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21LE |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
2360
441.7 IPS |
|
|
Image Classification (F16)
|
100% |
2324
434.9 IPS |
|
|
Image Classification (I8)
|
100% |
1940
363.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2727
45.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2541
42.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2115
35.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
16195
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
15885
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
12279
14.9 IPS |
|
|
Object Detection (F32)
|
100% |
1896
141.6 IPS |
|
|
Object Detection (F16)
|
100% |
2046
152.7 IPS |
|
|
Object Detection (I8)
|
54% |
1622
121.1 IPS |
|
|
Face Detection (F32)
|
100% |
3823
45.5 IPS |
|
|
Face Detection (F16)
|
100% |
3854
45.8 IPS |
|
|
Face Detection (I8)
|
89% |
2722
32.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
9394
72.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9768
75.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
7700
59.7 IPS |
|
|
Style Transfer (F32)
|
100% |
42541
56.0 IPS |
|
|
Style Transfer (F16)
|
100% |
41998
55.2 IPS |
|
|
Style Transfer (I8)
|
98% |
30334
39.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6338
226.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7389
263.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4088
146.0 IPS |
|
|
Text Classification (F32)
|
90% |
771
1.11 KIPS |
|
|
Text Classification (F16)
|
90% |
743
1.07 KIPS |
|
|
Text Classification (I8)
|
90% |
561
806.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1409
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1413
26.0 IPS |
|
|
Machine Translation (I8)
|
70% |
836
15.4 IPS |
