LENOVO 21KYZBZCUS
Geekbench ML Score
11455
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 09:15 AM |
| Views | 3 |
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 22 |
| L1 Data Cache | 32.0 KB x 22 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5496
1.03 KIPS |
|
|
Image Classification (F16)
|
100% |
5739
1.07 KIPS |
|
|
Image Classification (I8)
|
100% |
5111
956.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
8871
148.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
7807
130.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
6994
116.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
76567
92.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
73725
89.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
65868
79.8 IPS |
|
|
Object Detection (F32)
|
100% |
4265
318.4 IPS |
|
|
Object Detection (F16)
|
100% |
4239
316.5 IPS |
|
|
Object Detection (I8)
|
63% |
4046
302.1 IPS |
|
|
Face Detection (F32)
|
100% |
15718
186.9 IPS |
|
|
Face Detection (F16)
|
100% |
15629
185.8 IPS |
|
|
Face Detection (I8)
|
89% |
13103
155.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
30769
238.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
26406
204.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
27129
210.4 IPS |
|
|
Style Transfer (F32)
|
100% |
138514
182.2 IPS |
|
|
Style Transfer (F16)
|
100% |
111188
146.3 IPS |
|
|
Style Transfer (I8)
|
98% |
101513
133.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21058
752.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21272
759.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16490
588.9 IPS |
|
|
Text Classification (F32)
|
100% |
1552
2.23 KIPS |
|
|
Text Classification (F16)
|
100% |
1439
2.07 KIPS |
|
|
Text Classification (I8)
|
98% |
1029
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
2983
54.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2968
54.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1664
30.6 IPS |
