LENOVO 21KYZBZCUS
Geekbench ML Score
11364
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 06:27 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% |
5250
982.4 IPS |
|
|
Image Classification (F16)
|
100% |
5590
1.05 KIPS |
|
|
Image Classification (I8)
|
100% |
5008
937.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
7572
126.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7831
130.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
7183
120.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
72084
87.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
71150
86.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
66167
80.1 IPS |
|
|
Object Detection (F32)
|
100% |
4399
328.4 IPS |
|
|
Object Detection (F16)
|
100% |
4274
319.1 IPS |
|
|
Object Detection (I8)
|
63% |
3867
288.7 IPS |
|
|
Face Detection (F32)
|
100% |
15404
183.2 IPS |
|
|
Face Detection (F16)
|
100% |
15467
183.9 IPS |
|
|
Face Detection (I8)
|
89% |
12447
148.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
25477
197.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
28076
217.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
25993
201.6 IPS |
|
|
Style Transfer (F32)
|
100% |
136758
179.9 IPS |
|
|
Style Transfer (F16)
|
100% |
110636
145.5 IPS |
|
|
Style Transfer (I8)
|
98% |
99886
131.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22089
788.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21434
765.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16424
586.5 IPS |
|
|
Text Classification (F32)
|
100% |
1522
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1730
2.49 KIPS |
|
|
Text Classification (I8)
|
98% |
1190
1.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
2967
54.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2998
55.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1665
30.6 IPS |
