LENOVO 21KUZBUJCN
Geekbench ML Score
2817
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 24 2024 02:01 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21KUZBUJCN |
| Motherboard | LENOVO 21KUZBUJCN |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1311
245.3 IPS |
|
|
Image Classification (F16)
|
100% |
1382
258.5 IPS |
|
|
Image Classification (I8)
|
100% |
1222
228.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1414
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1398
23.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1224
20.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
12089
14.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
12339
14.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10628
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1195
89.2 IPS |
|
|
Object Detection (F16)
|
100% |
1263
94.3 IPS |
|
|
Object Detection (I8)
|
54% |
952
71.1 IPS |
|
|
Face Detection (F32)
|
100% |
991
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
989
11.8 IPS |
|
|
Face Detection (I8)
|
89% |
907
10.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7617
59.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7672
59.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
6462
50.1 IPS |
|
|
Style Transfer (F32)
|
100% |
37625
49.5 IPS |
|
|
Style Transfer (F16)
|
100% |
39328
51.7 IPS |
|
|
Style Transfer (I8)
|
98% |
28848
37.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6058
216.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6894
246.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4819
172.1 IPS |
|
|
Text Classification (F32)
|
90% |
810
1.16 KIPS |
|
|
Text Classification (F16)
|
90% |
816
1.17 KIPS |
|
|
Text Classification (I8)
|
90% |
611
878.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1605
29.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1581
29.1 IPS |
|
|
Machine Translation (I8)
|
70% |
869
16.0 IPS |
