LENOVO 21KYZBZCUS
Geekbench ML Score
11341
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 07:02 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5581
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
5758
1.08 KIPS |
|
|
Image Classification (I8)
|
100% |
5077
950.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
7791
130.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
7746
129.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
7019
117.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
76942
93.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
75499
91.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
65979
79.9 IPS |
|
|
Object Detection (F32)
|
100% |
4212
314.4 IPS |
|
|
Object Detection (F16)
|
100% |
4217
314.8 IPS |
|
|
Object Detection (I8)
|
63% |
4078
304.5 IPS |
|
|
Face Detection (F32)
|
100% |
15411
183.2 IPS |
|
|
Face Detection (F16)
|
100% |
15671
186.3 IPS |
|
|
Face Detection (I8)
|
89% |
13261
157.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
29285
227.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
25370
196.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
22509
174.6 IPS |
|
|
Style Transfer (F32)
|
100% |
139855
184.0 IPS |
|
|
Style Transfer (F16)
|
100% |
111005
146.0 IPS |
|
|
Style Transfer (I8)
|
98% |
99342
130.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20971
748.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22309
796.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16162
577.2 IPS |
|
|
Text Classification (F32)
|
100% |
1480
2.13 KIPS |
|
|
Text Classification (F16)
|
100% |
1433
2.06 KIPS |
|
|
Text Classification (I8)
|
98% |
1093
1.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
3037
55.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3040
55.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1701
31.3 IPS |
