LENOVO 21KYZBZCUS
Geekbench ML Score
11470
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 06:30 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% |
5417
1.01 KIPS |
|
|
Image Classification (F16)
|
100% |
5749
1.08 KIPS |
|
|
Image Classification (I8)
|
100% |
5031
941.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
8487
141.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
7866
131.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
7192
120.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
76752
92.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
76155
92.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
64261
77.8 IPS |
|
|
Object Detection (F32)
|
100% |
4367
326.0 IPS |
|
|
Object Detection (F16)
|
100% |
4193
313.0 IPS |
|
|
Object Detection (I8)
|
63% |
4075
304.2 IPS |
|
|
Face Detection (F32)
|
100% |
15627
185.8 IPS |
|
|
Face Detection (F16)
|
100% |
14585
173.4 IPS |
|
|
Face Detection (I8)
|
89% |
12260
145.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
28062
217.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
29497
228.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
26608
206.3 IPS |
|
|
Style Transfer (F32)
|
100% |
111393
146.5 IPS |
|
|
Style Transfer (F16)
|
100% |
109813
144.5 IPS |
|
|
Style Transfer (I8)
|
98% |
99774
131.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21973
784.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22108
789.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16342
583.6 IPS |
|
|
Text Classification (F32)
|
100% |
1512
2.17 KIPS |
|
|
Text Classification (F16)
|
100% |
1815
2.61 KIPS |
|
|
Text Classification (I8)
|
98% |
1204
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
2989
55.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2963
54.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1667
30.7 IPS |
