LENOVO 21KUZBUJCN
Geekbench ML Score
9683
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 07:14 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21KUZBUJCN |
| Motherboard | LENOVO 21KUZBUJCN |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 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 | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4926
921.9 IPS |
|
|
Image Classification (F16)
|
100% |
4847
907.1 IPS |
|
|
Image Classification (I8)
|
100% |
4351
814.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
7013
117.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5468
91.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
4998
83.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
44863
54.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
58457
70.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
39808
48.2 IPS |
|
|
Object Detection (F32)
|
100% |
4695
350.5 IPS |
|
|
Object Detection (F16)
|
100% |
4680
349.4 IPS |
|
|
Object Detection (I8)
|
61% |
3528
263.4 IPS |
|
|
Face Detection (F32)
|
100% |
13668
162.5 IPS |
|
|
Face Detection (F16)
|
100% |
13371
159.0 IPS |
|
|
Face Detection (I8)
|
89% |
11375
135.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
26199
203.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
26211
203.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
22566
175.0 IPS |
|
|
Style Transfer (F32)
|
100% |
105322
138.5 IPS |
|
|
Style Transfer (F16)
|
100% |
73010
96.0 IPS |
|
|
Style Transfer (I8)
|
98% |
66929
88.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17004
607.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16254
580.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12027
429.5 IPS |
|
|
Text Classification (F32)
|
100% |
1515
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1742
2.50 KIPS |
|
|
Text Classification (I8)
|
98% |
1168
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2863
52.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2857
52.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1703
31.3 IPS |
