ASUSTeK COMPUTER INC. NUC14RVS
Geekbench ML Score
3056
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 11:25 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVS |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVS |
| Power Plan | Balanced |
| 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 | 2.50 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 | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1374
257.1 IPS |
|
|
Image Classification (F16)
|
100% |
1437
269.0 IPS |
|
|
Image Classification (I8)
|
100% |
1200
224.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1524
25.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1511
25.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1339
22.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
13489
16.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
13448
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
11621
14.1 IPS |
|
|
Object Detection (F32)
|
100% |
1357
101.3 IPS |
|
|
Object Detection (F16)
|
100% |
1072
80.0 IPS |
|
|
Object Detection (I8)
|
54% |
996
74.4 IPS |
|
|
Face Detection (F32)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1101
13.1 IPS |
|
|
Face Detection (I8)
|
89% |
991
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7983
61.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8142
63.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
6406
49.7 IPS |
|
|
Style Transfer (F32)
|
100% |
42301
55.6 IPS |
|
|
Style Transfer (F16)
|
100% |
42418
55.8 IPS |
|
|
Style Transfer (I8)
|
98% |
30899
40.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8067
288.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7675
274.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5274
188.3 IPS |
|
|
Text Classification (F32)
|
90% |
835
1.20 KIPS |
|
|
Text Classification (F16)
|
90% |
814
1.17 KIPS |
|
|
Text Classification (I8)
|
90% |
608
873.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2059
37.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2058
37.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1033
19.0 IPS |
