LENOVO 21KYZBZ6US
Geekbench ML Score
2959
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 06:59 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% |
1431
267.8 IPS |
|
|
Image Classification (F16)
|
100% |
1418
265.3 IPS |
|
|
Image Classification (I8)
|
100% |
1268
237.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1510
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1502
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1286
21.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
13768
16.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
13703
16.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11792
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1227
91.6 IPS |
|
|
Object Detection (F16)
|
100% |
1260
94.0 IPS |
|
|
Object Detection (I8)
|
54% |
928
69.3 IPS |
|
|
Face Detection (F32)
|
100% |
1189
14.1 IPS |
|
|
Face Detection (F16)
|
100% |
1194
14.2 IPS |
|
|
Face Detection (I8)
|
89% |
1060
12.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7653
59.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7605
59.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
6447
50.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40168
52.8 IPS |
|
|
Style Transfer (F16)
|
100% |
39483
51.9 IPS |
|
|
Style Transfer (I8)
|
98% |
30192
39.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6496
232.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7848
280.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5170
184.6 IPS |
|
|
Text Classification (F32)
|
90% |
783
1.13 KIPS |
|
|
Text Classification (F16)
|
90% |
770
1.11 KIPS |
|
|
Text Classification (I8)
|
90% |
585
840.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1602
29.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1602
29.5 IPS |
|
|
Machine Translation (I8)
|
70% |
889
16.4 IPS |
