LENOVO 21KV001KUS
Geekbench ML Score
10851
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 04:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV001KUS |
| Motherboard | LENOVO 21KV001KUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 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 | NVIDIA RTX 1000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5188
970.8 IPS |
|
|
Image Classification (F16)
|
100% |
5198
972.6 IPS |
|
|
Image Classification (I8)
|
100% |
4681
876.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
7837
130.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7013
117.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
6485
108.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
60892
73.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
60968
73.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
53424
64.7 IPS |
|
|
Object Detection (F32)
|
100% |
4261
318.1 IPS |
|
|
Object Detection (F16)
|
100% |
2600
194.1 IPS |
|
|
Object Detection (I8)
|
61% |
4190
312.8 IPS |
|
|
Face Detection (F32)
|
100% |
14638
174.0 IPS |
|
|
Face Detection (F16)
|
100% |
14760
175.5 IPS |
|
|
Face Detection (I8)
|
89% |
11933
141.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
28909
224.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
25429
197.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
25562
198.2 IPS |
|
|
Style Transfer (F32)
|
100% |
99561
131.0 IPS |
|
|
Style Transfer (F16)
|
100% |
99735
131.2 IPS |
|
|
Style Transfer (I8)
|
98% |
90509
119.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20959
748.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21108
753.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15711
561.1 IPS |
|
|
Text Classification (F32)
|
100% |
2016
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
2004
2.88 KIPS |
|
|
Text Classification (I8)
|
98% |
1223
1.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
3150
58.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3165
58.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1881
34.6 IPS |
