LENOVO 21KUZBUJCN
Geekbench ML Score
9705
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 03:09 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% |
5107
955.7 IPS |
|
|
Image Classification (F16)
|
100% |
5106
955.4 IPS |
|
|
Image Classification (I8)
|
100% |
4479
838.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
6771
113.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5427
90.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
4947
82.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
44727
54.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
44730
54.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
39883
48.3 IPS |
|
|
Object Detection (F32)
|
100% |
4486
334.9 IPS |
|
|
Object Detection (F16)
|
100% |
3728
278.3 IPS |
|
|
Object Detection (I8)
|
61% |
4273
319.0 IPS |
|
|
Face Detection (F32)
|
100% |
13491
160.4 IPS |
|
|
Face Detection (F16)
|
100% |
13602
161.7 IPS |
|
|
Face Detection (I8)
|
89% |
11397
135.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
26484
205.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
26570
206.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
19938
154.6 IPS |
|
|
Style Transfer (F32)
|
100% |
106663
140.3 IPS |
|
|
Style Transfer (F16)
|
100% |
77203
101.6 IPS |
|
|
Style Transfer (I8)
|
98% |
76670
100.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18890
674.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16394
585.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12163
434.4 IPS |
|
|
Text Classification (F32)
|
100% |
1599
2.30 KIPS |
|
|
Text Classification (F16)
|
100% |
1775
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
1282
1.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
2786
51.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2806
51.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1695
31.2 IPS |
