LENOVO 21KYZBZ6US
Geekbench ML Score
2783
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 03:02 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1369
256.2 IPS |
|
|
Image Classification (F16)
|
100% |
1313
245.7 IPS |
|
|
Image Classification (I8)
|
100% |
1171
219.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1319
22.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1298
21.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1183
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
11489
13.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
11210
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9916
12.0 IPS |
|
|
Object Detection (F32)
|
100% |
1172
87.5 IPS |
|
|
Object Detection (F16)
|
100% |
1195
89.2 IPS |
|
|
Object Detection (I8)
|
54% |
1043
77.9 IPS |
|
|
Face Detection (F32)
|
100% |
980
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
972
11.6 IPS |
|
|
Face Detection (I8)
|
89% |
876
10.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7633
59.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7527
58.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
6099
47.3 IPS |
|
|
Style Transfer (F32)
|
100% |
38197
50.2 IPS |
|
|
Style Transfer (F16)
|
100% |
38214
50.3 IPS |
|
|
Style Transfer (I8)
|
98% |
28900
38.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7519
268.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6951
248.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5003
178.7 IPS |
|
|
Text Classification (F32)
|
90% |
799
1.15 KIPS |
|
|
Text Classification (F16)
|
90% |
795
1.14 KIPS |
|
|
Text Classification (I8)
|
90% |
593
852.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1564
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1583
29.1 IPS |
|
|
Machine Translation (I8)
|
70% |
905
16.7 IPS |
