LENOVO 21KYZBZCUS
Geekbench ML Score
11366
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 06:37 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% |
5537
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
5648
1.06 KIPS |
|
|
Image Classification (I8)
|
100% |
5059
946.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
8935
149.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
7875
131.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
6910
115.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
76024
92.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
75441
91.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
66331
80.3 IPS |
|
|
Object Detection (F32)
|
100% |
4387
327.5 IPS |
|
|
Object Detection (F16)
|
100% |
4150
309.8 IPS |
|
|
Object Detection (I8)
|
63% |
3998
298.4 IPS |
|
|
Face Detection (F32)
|
100% |
15297
181.9 IPS |
|
|
Face Detection (F16)
|
100% |
15518
184.5 IPS |
|
|
Face Detection (I8)
|
89% |
12529
149.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
30345
235.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
29821
231.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
21534
167.0 IPS |
|
|
Style Transfer (F32)
|
100% |
139378
183.3 IPS |
|
|
Style Transfer (F16)
|
100% |
112295
147.7 IPS |
|
|
Style Transfer (I8)
|
98% |
100337
132.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20581
735.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21586
770.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16163
577.2 IPS |
|
|
Text Classification (F32)
|
100% |
1530
2.20 KIPS |
|
|
Text Classification (F16)
|
100% |
1443
2.07 KIPS |
|
|
Text Classification (I8)
|
98% |
1029
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
2969
54.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2987
55.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1665
30.6 IPS |
