LENOVO 21KUZBUJCN
Geekbench ML Score
9586
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 03:05 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% |
5037
942.5 IPS |
|
|
Image Classification (F16)
|
100% |
4999
935.4 IPS |
|
|
Image Classification (I8)
|
100% |
4490
840.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
6898
115.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
5391
90.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
4879
81.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
44761
54.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
48956
59.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
51881
62.8 IPS |
|
|
Object Detection (F32)
|
100% |
3681
274.8 IPS |
|
|
Object Detection (F16)
|
100% |
3752
280.1 IPS |
|
|
Object Detection (I8)
|
61% |
3553
265.2 IPS |
|
|
Face Detection (F32)
|
100% |
13469
160.2 IPS |
|
|
Face Detection (F16)
|
100% |
13094
155.7 IPS |
|
|
Face Detection (I8)
|
89% |
11077
131.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
26441
205.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
26570
206.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
23394
181.4 IPS |
|
|
Style Transfer (F32)
|
100% |
106368
139.9 IPS |
|
|
Style Transfer (F16)
|
100% |
80611
106.0 IPS |
|
|
Style Transfer (I8)
|
98% |
77207
101.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16435
586.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16359
584.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12143
433.7 IPS |
|
|
Text Classification (F32)
|
100% |
1578
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1592
2.29 KIPS |
|
|
Text Classification (I8)
|
98% |
1066
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
2791
51.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2791
51.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1703
31.3 IPS |
