LENOVO 21KV001KUS
Geekbench ML Score
2910
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 04:10 PM |
| Views | 4 |
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% |
1222
228.7 IPS |
|
|
Image Classification (F16)
|
100% |
1355
253.6 IPS |
|
|
Image Classification (I8)
|
100% |
1189
222.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1537
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1503
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1302
21.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
13098
15.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
13227
16.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
11526
14.0 IPS |
|
|
Object Detection (F32)
|
100% |
1240
92.5 IPS |
|
|
Object Detection (F16)
|
100% |
1241
92.6 IPS |
|
|
Object Detection (I8)
|
54% |
1083
80.9 IPS |
|
|
Face Detection (F32)
|
100% |
1196
14.2 IPS |
|
|
Face Detection (F16)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (I8)
|
89% |
1089
12.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7921
61.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7758
60.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
6621
51.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41773
54.9 IPS |
|
|
Style Transfer (F16)
|
100% |
42282
55.6 IPS |
|
|
Style Transfer (I8)
|
98% |
31438
41.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6895
246.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6926
247.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4236
151.3 IPS |
|
|
Text Classification (F32)
|
90% |
711
1.02 KIPS |
|
|
Text Classification (F16)
|
90% |
733
1.05 KIPS |
|
|
Text Classification (I8)
|
90% |
562
807.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1542
28.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1551
28.5 IPS |
|
|
Machine Translation (I8)
|
70% |
848
15.6 IPS |
