LENOVO 21KUZBUJCN
Geekbench ML Score
9765
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 03:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21KUZBUJCN |
| Motherboard | LENOVO 21KUZBUJCN |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5073
949.4 IPS |
|
|
Image Classification (F16)
|
100% |
4996
934.9 IPS |
|
|
Image Classification (I8)
|
100% |
4469
836.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
5482
91.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
5425
90.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
4964
82.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
44602
54.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
57928
70.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
53089
64.3 IPS |
|
|
Object Detection (F32)
|
100% |
4582
342.1 IPS |
|
|
Object Detection (F16)
|
100% |
3721
277.8 IPS |
|
|
Object Detection (I8)
|
61% |
3581
267.4 IPS |
|
|
Face Detection (F32)
|
100% |
13552
161.1 IPS |
|
|
Face Detection (F16)
|
100% |
13617
161.9 IPS |
|
|
Face Detection (I8)
|
89% |
11296
134.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
26551
205.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
26572
206.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
17017
132.0 IPS |
|
|
Style Transfer (F32)
|
100% |
106928
140.7 IPS |
|
|
Style Transfer (F16)
|
100% |
83961
110.4 IPS |
|
|
Style Transfer (I8)
|
98% |
82870
109.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19898
710.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16567
591.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12203
435.8 IPS |
|
|
Text Classification (F32)
|
100% |
1621
2.33 KIPS |
|
|
Text Classification (F16)
|
100% |
1764
2.53 KIPS |
|
|
Text Classification (I8)
|
98% |
1236
1.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
2803
51.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2790
51.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1693
31.2 IPS |
