LENOVO 21LE
Geekbench ML Score
3926
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 08:37 AM |
| Views | 3 |
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% |
2390
447.2 IPS |
|
|
Image Classification (F16)
|
100% |
2400
449.2 IPS |
|
|
Image Classification (I8)
|
100% |
1994
373.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2695
45.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2530
42.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2129
35.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
16147
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
15795
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
12032
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
2109
157.5 IPS |
|
|
Object Detection (F16)
|
100% |
2007
149.9 IPS |
|
|
Object Detection (I8)
|
54% |
1724
128.7 IPS |
|
|
Face Detection (F32)
|
100% |
3825
45.5 IPS |
|
|
Face Detection (F16)
|
100% |
3908
46.5 IPS |
|
|
Face Detection (I8)
|
89% |
2716
32.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
9544
74.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9915
76.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
7791
60.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41881
55.1 IPS |
|
|
Style Transfer (F16)
|
100% |
42753
56.2 IPS |
|
|
Style Transfer (I8)
|
98% |
29620
39.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6615
236.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6962
248.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4322
154.3 IPS |
|
|
Text Classification (F32)
|
90% |
745
1.07 KIPS |
|
|
Text Classification (F16)
|
90% |
766
1.10 KIPS |
|
|
Text Classification (I8)
|
90% |
555
798.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1436
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1461
26.9 IPS |
|
|
Machine Translation (I8)
|
70% |
845
15.5 IPS |
