LENOVO 21KYZBZCUS
Geekbench ML Score
11452
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 03:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KYZBZCUS |
| Motherboard | LENOVO 21KYZBZCUS |
| Power Plan | Balanced |
| 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 RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5582
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
5827
1.09 KIPS |
|
|
Image Classification (I8)
|
100% |
5161
965.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
8915
148.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7849
131.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
7124
119.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
74229
89.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
75119
91.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
64414
78.0 IPS |
|
|
Object Detection (F32)
|
100% |
4526
337.9 IPS |
|
|
Object Detection (F16)
|
100% |
4256
317.7 IPS |
|
|
Object Detection (I8)
|
63% |
4056
302.8 IPS |
|
|
Face Detection (F32)
|
100% |
15554
184.9 IPS |
|
|
Face Detection (F16)
|
100% |
15256
181.4 IPS |
|
|
Face Detection (I8)
|
89% |
12651
150.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
30372
235.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
27041
209.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
22703
176.1 IPS |
|
|
Style Transfer (F32)
|
100% |
140249
184.5 IPS |
|
|
Style Transfer (F16)
|
100% |
113144
148.8 IPS |
|
|
Style Transfer (I8)
|
98% |
99632
131.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22355
798.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22030
786.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15962
570.0 IPS |
|
|
Text Classification (F32)
|
100% |
1535
2.21 KIPS |
|
|
Text Classification (F16)
|
100% |
1466
2.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1038
1.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
3039
55.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3020
55.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1670
30.7 IPS |
