LENOVO 21KUZBUACN
Geekbench ML Score
2368
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 01:28 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% |
1263
236.4 IPS |
|
|
Image Classification (F16)
|
100% |
1269
237.5 IPS |
|
|
Image Classification (I8)
|
100% |
1119
209.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1079
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1077
18.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
902
15.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9609
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
9596
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
7883
9.55 IPS |
|
|
Object Detection (F32)
|
100% |
1141
85.2 IPS |
|
|
Object Detection (F16)
|
100% |
1151
85.9 IPS |
|
|
Object Detection (I8)
|
54% |
972
72.6 IPS |
|
|
Face Detection (F32)
|
100% |
664
7.89 IPS |
|
|
Face Detection (F16)
|
100% |
660
7.85 IPS |
|
|
Face Detection (I8)
|
89% |
597
7.09 IPS |
|
|
Depth Estimation (F32)
|
100% |
6557
50.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6739
52.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
5224
40.5 IPS |
|
|
Style Transfer (F32)
|
100% |
31204
41.0 IPS |
|
|
Style Transfer (F16)
|
100% |
31351
41.2 IPS |
|
|
Style Transfer (I8)
|
98% |
21205
27.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6136
219.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5562
198.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3865
138.0 IPS |
|
|
Text Classification (F32)
|
90% |
797
1.15 KIPS |
|
|
Text Classification (F16)
|
90% |
793
1.14 KIPS |
|
|
Text Classification (I8)
|
90% |
604
868.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1429
26.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1429
26.3 IPS |
|
|
Machine Translation (I8)
|
70% |
766
14.1 IPS |
