LENOVO 21KUZBUJCN
Geekbench ML Score
9531
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 08:48 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% |
5038
942.8 IPS |
|
|
Image Classification (F16)
|
100% |
5020
939.3 IPS |
|
|
Image Classification (I8)
|
100% |
4484
839.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
5573
93.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5420
90.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
4929
82.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
44769
54.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
58263
70.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
39469
47.8 IPS |
|
|
Object Detection (F32)
|
100% |
4524
337.8 IPS |
|
|
Object Detection (F16)
|
100% |
3790
283.0 IPS |
|
|
Object Detection (I8)
|
61% |
4204
313.9 IPS |
|
|
Face Detection (F32)
|
100% |
13649
162.3 IPS |
|
|
Face Detection (F16)
|
100% |
13469
160.2 IPS |
|
|
Face Detection (I8)
|
89% |
10994
130.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
26542
205.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
19811
153.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
20564
159.5 IPS |
|
|
Style Transfer (F32)
|
100% |
105137
138.3 IPS |
|
|
Style Transfer (F16)
|
100% |
73277
96.4 IPS |
|
|
Style Transfer (I8)
|
98% |
67375
88.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16776
599.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16273
581.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12151
434.0 IPS |
|
|
Text Classification (F32)
|
100% |
1590
2.29 KIPS |
|
|
Text Classification (F16)
|
100% |
1875
2.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1281
1.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
2801
51.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2782
51.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1691
31.1 IPS |
