LENOVO 21KYZBZCUS
Geekbench ML Score
11378
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 06:36 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5603
1.05 KIPS |
|
|
Image Classification (F16)
|
100% |
5770
1.08 KIPS |
|
|
Image Classification (I8)
|
100% |
5135
960.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
8729
145.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7644
127.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
6874
114.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
74740
90.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
73038
88.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
66206
80.2 IPS |
|
|
Object Detection (F32)
|
100% |
4268
318.6 IPS |
|
|
Object Detection (F16)
|
100% |
4515
337.1 IPS |
|
|
Object Detection (I8)
|
63% |
3826
285.6 IPS |
|
|
Face Detection (F32)
|
100% |
14691
174.7 IPS |
|
|
Face Detection (F16)
|
100% |
15648
186.1 IPS |
|
|
Face Detection (I8)
|
89% |
13030
154.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
30663
237.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
28515
221.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
21478
166.6 IPS |
|
|
Style Transfer (F32)
|
100% |
133851
176.1 IPS |
|
|
Style Transfer (F16)
|
100% |
111486
146.6 IPS |
|
|
Style Transfer (I8)
|
98% |
101890
134.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21691
774.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21833
779.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16658
594.9 IPS |
|
|
Text Classification (F32)
|
100% |
1543
2.22 KIPS |
|
|
Text Classification (F16)
|
100% |
1474
2.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1041
1.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
2996
55.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2985
54.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1662
30.6 IPS |
