LENOVO 21KV001KUS
Geekbench ML Score
11004
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 04:17 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% |
5171
967.6 IPS |
|
|
Image Classification (F16)
|
100% |
5209
974.7 IPS |
|
|
Image Classification (I8)
|
100% |
4695
878.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
6931
115.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7053
117.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
6451
107.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
61485
74.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
61157
74.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
53806
65.2 IPS |
|
|
Object Detection (F32)
|
100% |
4403
328.7 IPS |
|
|
Object Detection (F16)
|
100% |
4378
326.8 IPS |
|
|
Object Detection (I8)
|
61% |
4040
301.6 IPS |
|
|
Face Detection (F32)
|
100% |
13578
161.4 IPS |
|
|
Face Detection (F16)
|
100% |
14490
172.3 IPS |
|
|
Face Detection (I8)
|
89% |
11830
140.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
25517
197.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
28989
224.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
25534
198.0 IPS |
|
|
Style Transfer (F32)
|
100% |
115759
152.3 IPS |
|
|
Style Transfer (F16)
|
100% |
99628
131.1 IPS |
|
|
Style Transfer (I8)
|
98% |
89666
117.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20585
735.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21171
756.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15173
541.9 IPS |
|
|
Text Classification (F32)
|
100% |
1961
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
2026
2.91 KIPS |
|
|
Text Classification (I8)
|
98% |
1236
1.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
3173
58.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3181
58.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1885
34.7 IPS |
