LENOVO 21KYZBZ6US
Geekbench ML Score
2962
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 07:01 AM |
| Views | 3 |
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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1384
259.0 IPS |
|
|
Image Classification (F16)
|
100% |
1365
255.4 IPS |
|
|
Image Classification (I8)
|
100% |
1253
234.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1522
25.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1486
24.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1291
21.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
13888
16.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
14055
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12037
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1202
89.7 IPS |
|
|
Object Detection (F16)
|
100% |
1227
91.6 IPS |
|
|
Object Detection (I8)
|
54% |
1105
82.5 IPS |
|
|
Face Detection (F32)
|
100% |
1179
14.0 IPS |
|
|
Face Detection (F16)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (I8)
|
89% |
1053
12.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7921
61.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7769
60.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
6433
49.9 IPS |
|
|
Style Transfer (F32)
|
100% |
39711
52.2 IPS |
|
|
Style Transfer (F16)
|
100% |
39826
52.4 IPS |
|
|
Style Transfer (I8)
|
98% |
30386
40.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6746
240.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6787
242.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4824
172.3 IPS |
|
|
Text Classification (F32)
|
90% |
809
1.16 KIPS |
|
|
Text Classification (F16)
|
90% |
791
1.14 KIPS |
|
|
Text Classification (I8)
|
90% |
595
855.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1599
29.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1594
29.3 IPS |
|
|
Machine Translation (I8)
|
70% |
884
16.3 IPS |
