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 08:34 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% |
2400
449.1 IPS |
|
|
Image Classification (F16)
|
100% |
2387
446.6 IPS |
|
|
Image Classification (I8)
|
100% |
1961
366.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2583
43.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2622
43.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2153
36.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
16192
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
16003
19.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
11909
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
2059
153.7 IPS |
|
|
Object Detection (F16)
|
100% |
2050
153.1 IPS |
|
|
Object Detection (I8)
|
54% |
1771
132.2 IPS |
|
|
Face Detection (F32)
|
100% |
3898
46.4 IPS |
|
|
Face Detection (F16)
|
100% |
3848
45.8 IPS |
|
|
Face Detection (I8)
|
89% |
2745
32.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
9447
73.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9357
72.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
7848
60.9 IPS |
|
|
Style Transfer (F32)
|
100% |
43391
57.1 IPS |
|
|
Style Transfer (F16)
|
100% |
42517
55.9 IPS |
|
|
Style Transfer (I8)
|
98% |
29623
39.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6167
220.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6534
233.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3980
142.1 IPS |
|
|
Text Classification (F32)
|
90% |
739
1.06 KIPS |
|
|
Text Classification (F16)
|
90% |
734
1.06 KIPS |
|
|
Text Classification (I8)
|
90% |
565
811.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1407
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1420
26.1 IPS |
|
|
Machine Translation (I8)
|
70% |
841
15.5 IPS |
