LENOVO 21KV001CUS
Geekbench ML Score
2986
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 08:22 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV001CUS |
| Motherboard | LENOVO 21KV001CUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1431
267.9 IPS |
|
|
Image Classification (F16)
|
100% |
1439
269.2 IPS |
|
|
Image Classification (I8)
|
100% |
1246
233.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1528
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1504
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1308
21.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
13669
16.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
13758
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12015
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1229
91.7 IPS |
|
|
Object Detection (F16)
|
100% |
1256
93.8 IPS |
|
|
Object Detection (I8)
|
54% |
1007
75.2 IPS |
|
|
Face Detection (F32)
|
100% |
1209
14.4 IPS |
|
|
Face Detection (F16)
|
100% |
1220
14.5 IPS |
|
|
Face Detection (I8)
|
89% |
1097
13.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8043
62.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7958
61.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
6431
49.9 IPS |
|
|
Style Transfer (F32)
|
100% |
41285
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
40991
53.9 IPS |
|
|
Style Transfer (I8)
|
98% |
31789
41.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7183
256.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6922
247.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5172
184.7 IPS |
|
|
Text Classification (F32)
|
90% |
734
1.06 KIPS |
|
|
Text Classification (F16)
|
90% |
751
1.08 KIPS |
|
|
Text Classification (I8)
|
90% |
574
825.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1611
29.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1588
29.2 IPS |
|
|
Machine Translation (I8)
|
70% |
890
16.4 IPS |
