LENOVO 21KV001KUS
Geekbench ML Score
11085
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 04:19 PM |
| Views | 3 |
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% |
5214
975.7 IPS |
|
|
Image Classification (F16)
|
100% |
5200
973.1 IPS |
|
|
Image Classification (I8)
|
100% |
4713
882.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
7896
131.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7010
117.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
6554
109.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
61136
74.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
61369
74.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
53583
64.9 IPS |
|
|
Object Detection (F32)
|
100% |
4483
334.7 IPS |
|
|
Object Detection (F16)
|
100% |
4262
318.2 IPS |
|
|
Object Detection (I8)
|
61% |
4211
314.4 IPS |
|
|
Face Detection (F32)
|
100% |
14597
173.6 IPS |
|
|
Face Detection (F16)
|
100% |
14643
174.1 IPS |
|
|
Face Detection (I8)
|
89% |
11978
142.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
28909
224.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
28952
224.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
21700
168.3 IPS |
|
|
Style Transfer (F32)
|
100% |
115111
151.4 IPS |
|
|
Style Transfer (F16)
|
100% |
98493
129.6 IPS |
|
|
Style Transfer (I8)
|
98% |
89999
118.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20438
729.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20617
736.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15051
537.5 IPS |
|
|
Text Classification (F32)
|
100% |
2046
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
1991
2.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1269
1.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
3163
58.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3175
58.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1879
34.6 IPS |
