ASUSTeK COMPUTER INC. NUC14RVK-B
Geekbench ML Score
2494
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVK-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
951
178.0 IPS |
|
|
Image Classification (F16)
|
100% |
956
179.0 IPS |
|
|
Image Classification (I8)
|
100% |
878
164.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1293
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1246
20.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1116
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
11335
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
11511
13.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
9277
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
941
70.3 IPS |
|
|
Object Detection (F16)
|
100% |
929
69.3 IPS |
|
|
Object Detection (I8)
|
54% |
870
65.0 IPS |
|
|
Face Detection (F32)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (F16)
|
100% |
1131
13.5 IPS |
|
|
Face Detection (I8)
|
89% |
1022
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5917
45.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5936
46.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
5075
39.4 IPS |
|
|
Style Transfer (F32)
|
100% |
34431
45.3 IPS |
|
|
Style Transfer (F16)
|
100% |
35741
47.0 IPS |
|
|
Style Transfer (I8)
|
98% |
26952
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5829
208.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5547
198.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4111
146.8 IPS |
|
|
Text Classification (F32)
|
90% |
747
1.07 KIPS |
|
|
Text Classification (F16)
|
90% |
739
1.06 KIPS |
|
|
Text Classification (I8)
|
90% |
544
782.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1540
28.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1518
27.9 IPS |
|
|
Machine Translation (I8)
|
70% |
859
15.8 IPS |
