LENOVO 21KUZBUACN
Geekbench ML Score
2148
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 03:14 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21KUZBUACN |
| Motherboard | LENOVO 21KUZBUACN |
| 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) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1189
222.5 IPS |
|
|
Image Classification (F16)
|
100% |
1209
226.3 IPS |
|
|
Image Classification (I8)
|
100% |
1064
199.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
929
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
928
15.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
774
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8053
9.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
8091
9.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
6911
8.37 IPS |
|
|
Object Detection (F32)
|
100% |
1080
80.6 IPS |
|
|
Object Detection (F16)
|
100% |
1097
81.9 IPS |
|
|
Object Detection (I8)
|
54% |
924
69.0 IPS |
|
|
Face Detection (F32)
|
100% |
548
6.52 IPS |
|
|
Face Detection (F16)
|
100% |
547
6.51 IPS |
|
|
Face Detection (I8)
|
89% |
492
5.86 IPS |
|
|
Depth Estimation (F32)
|
100% |
6162
47.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6148
47.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
4748
36.8 IPS |
|
|
Style Transfer (F32)
|
100% |
28132
37.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27825
36.6 IPS |
|
|
Style Transfer (I8)
|
98% |
18735
24.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5852
209.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5126
183.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3667
131.0 IPS |
|
|
Text Classification (F32)
|
90% |
797
1.14 KIPS |
|
|
Text Classification (F16)
|
90% |
798
1.15 KIPS |
|
|
Text Classification (I8)
|
90% |
601
863.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1261
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1258
23.2 IPS |
|
|
Machine Translation (I8)
|
70% |
702
12.9 IPS |
