LENOVO 21KYZBZ6US
Geekbench ML Score
2884
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 08:54 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KYZBZ6US |
| Motherboard | LENOVO 21KYZBZ6US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| 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% |
1304
244.0 IPS |
|
|
Image Classification (F16)
|
100% |
1351
252.9 IPS |
|
|
Image Classification (I8)
|
100% |
1121
209.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1437
24.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1429
23.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1225
20.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
13134
15.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
13114
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
11421
13.8 IPS |
|
|
Object Detection (F32)
|
100% |
1174
87.6 IPS |
|
|
Object Detection (F16)
|
100% |
1170
87.4 IPS |
|
|
Object Detection (I8)
|
54% |
1106
82.6 IPS |
|
|
Face Detection (F32)
|
100% |
1090
13.0 IPS |
|
|
Face Detection (F16)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (I8)
|
89% |
984
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7592
58.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7523
58.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
6079
47.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39393
51.8 IPS |
|
|
Style Transfer (F16)
|
100% |
39586
52.1 IPS |
|
|
Style Transfer (I8)
|
98% |
29782
39.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6893
246.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7473
266.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4818
172.1 IPS |
|
|
Text Classification (F32)
|
90% |
814
1.17 KIPS |
|
|
Text Classification (F16)
|
90% |
809
1.16 KIPS |
|
|
Text Classification (I8)
|
90% |
606
870.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1615
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1620
29.8 IPS |
|
|
Machine Translation (I8)
|
70% |
878
16.2 IPS |
