LENOVO 21KYZBZCUS
Geekbench ML Score
11685
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 02:53 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% |
5284
988.9 IPS |
|
|
Image Classification (F16)
|
100% |
5768
1.08 KIPS |
|
|
Image Classification (I8)
|
100% |
5101
954.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
9031
150.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7777
129.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
7000
116.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
72736
88.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
74609
90.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
65577
79.4 IPS |
|
|
Object Detection (F32)
|
100% |
4495
335.5 IPS |
|
|
Object Detection (F16)
|
100% |
4303
321.3 IPS |
|
|
Object Detection (I8)
|
63% |
4364
325.8 IPS |
|
|
Face Detection (F32)
|
100% |
15194
180.7 IPS |
|
|
Face Detection (F16)
|
100% |
15418
183.3 IPS |
|
|
Face Detection (I8)
|
89% |
12621
150.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
29467
228.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
31614
245.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
26699
207.0 IPS |
|
|
Style Transfer (F32)
|
100% |
132176
173.9 IPS |
|
|
Style Transfer (F16)
|
100% |
109576
144.1 IPS |
|
|
Style Transfer (I8)
|
98% |
100856
132.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21295
760.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22924
818.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16661
595.0 IPS |
|
|
Text Classification (F32)
|
100% |
1521
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1791
2.57 KIPS |
|
|
Text Classification (I8)
|
98% |
1253
1.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
3031
55.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3044
56.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1695
31.2 IPS |
