LENOVO 21KV001KUS
Geekbench ML Score
2940
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 04:08 PM |
| Views | 7 |
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 | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1419
265.6 IPS |
|
|
Image Classification (F16)
|
100% |
1436
268.7 IPS |
|
|
Image Classification (I8)
|
100% |
1288
241.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1496
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1537
25.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1325
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
13060
15.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
13597
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11452
13.9 IPS |
|
|
Object Detection (F32)
|
100% |
1244
92.9 IPS |
|
|
Object Detection (F16)
|
100% |
1186
88.5 IPS |
|
|
Object Detection (I8)
|
54% |
1128
84.2 IPS |
|
|
Face Detection (F32)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (F16)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (I8)
|
89% |
1083
12.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7900
61.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7800
60.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
6549
50.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40680
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
41366
54.4 IPS |
|
|
Style Transfer (I8)
|
98% |
32431
42.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6167
220.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6138
219.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4499
160.7 IPS |
|
|
Text Classification (F32)
|
90% |
779
1.12 KIPS |
|
|
Text Classification (F16)
|
90% |
778
1.12 KIPS |
|
|
Text Classification (I8)
|
90% |
570
818.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1565
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1569
28.9 IPS |
|
|
Machine Translation (I8)
|
70% |
852
15.7 IPS |
