LENOVO 21KUZBUACN
Geekbench ML Score
2156
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 03:09 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% |
1240
232.1 IPS |
|
|
Image Classification (F16)
|
100% |
1225
229.2 IPS |
|
|
Image Classification (I8)
|
100% |
1066
199.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
923
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
920
15.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
774
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8106
9.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
7989
9.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
6784
8.21 IPS |
|
|
Object Detection (F32)
|
100% |
1080
80.6 IPS |
|
|
Object Detection (F16)
|
100% |
1085
81.0 IPS |
|
|
Object Detection (I8)
|
54% |
934
69.7 IPS |
|
|
Face Detection (F32)
|
100% |
548
6.52 IPS |
|
|
Face Detection (F16)
|
100% |
548
6.52 IPS |
|
|
Face Detection (I8)
|
89% |
492
5.85 IPS |
|
|
Depth Estimation (F32)
|
100% |
6083
47.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6206
48.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
4714
36.6 IPS |
|
|
Style Transfer (F32)
|
100% |
28240
37.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28388
37.3 IPS |
|
|
Style Transfer (I8)
|
98% |
19059
25.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5685
203.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5937
212.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3473
124.0 IPS |
|
|
Text Classification (F32)
|
90% |
805
1.16 KIPS |
|
|
Text Classification (F16)
|
90% |
797
1.15 KIPS |
|
|
Text Classification (I8)
|
90% |
599
860.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1259
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1266
23.3 IPS |
|
|
Machine Translation (I8)
|
70% |
701
12.9 IPS |
