LENOVO 21KYZBZCUS
Geekbench ML Score
11420
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 02:47 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 22 |
| L1 Data Cache | 32.0 KB x 22 |
| 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% |
5358
1.00 KIPS |
|
|
Image Classification (F16)
|
100% |
5526
1.03 KIPS |
|
|
Image Classification (I8)
|
100% |
5000
935.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
7854
131.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
7887
131.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
7078
118.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
76279
92.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
74640
90.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
66177
80.1 IPS |
|
|
Object Detection (F32)
|
100% |
4350
324.7 IPS |
|
|
Object Detection (F16)
|
100% |
4268
318.6 IPS |
|
|
Object Detection (I8)
|
63% |
4165
311.0 IPS |
|
|
Face Detection (F32)
|
100% |
14869
176.8 IPS |
|
|
Face Detection (F16)
|
100% |
14730
175.1 IPS |
|
|
Face Detection (I8)
|
89% |
12850
152.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
29431
228.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
28922
224.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
26009
201.7 IPS |
|
|
Style Transfer (F32)
|
100% |
111956
147.3 IPS |
|
|
Style Transfer (F16)
|
100% |
113966
149.9 IPS |
|
|
Style Transfer (I8)
|
98% |
97556
128.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21393
764.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22136
790.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16329
583.2 IPS |
|
|
Text Classification (F32)
|
100% |
1524
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1631
2.34 KIPS |
|
|
Text Classification (I8)
|
98% |
1219
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
3050
56.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3037
55.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1690
31.1 IPS |
