LENOVO 21KYZBZCUS
Geekbench ML Score
11522
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 02:58 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% |
5455
1.02 KIPS |
|
|
Image Classification (F16)
|
100% |
5776
1.08 KIPS |
|
|
Image Classification (I8)
|
100% |
5133
960.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
7783
130.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
7808
130.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
7171
119.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
73361
88.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
72560
87.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
65774
79.6 IPS |
|
|
Object Detection (F32)
|
100% |
4108
306.7 IPS |
|
|
Object Detection (F16)
|
100% |
4398
328.4 IPS |
|
|
Object Detection (I8)
|
63% |
3808
284.3 IPS |
|
|
Face Detection (F32)
|
100% |
15709
186.8 IPS |
|
|
Face Detection (F16)
|
100% |
15387
183.0 IPS |
|
|
Face Detection (I8)
|
89% |
13010
154.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
31137
241.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
26342
204.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
24444
189.6 IPS |
|
|
Style Transfer (F32)
|
100% |
139077
182.9 IPS |
|
|
Style Transfer (F16)
|
100% |
109871
144.5 IPS |
|
|
Style Transfer (I8)
|
98% |
100347
132.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21876
781.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21347
762.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16898
603.5 IPS |
|
|
Text Classification (F32)
|
100% |
1576
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1778
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
1242
1.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
3037
55.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3029
55.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1694
31.2 IPS |
