ASUSTeK COMPUTER INC. NUC14RVH
Geekbench ML Score
2755
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 26 2024 10:59 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVH |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1376
257.6 IPS |
|
|
Image Classification (F16)
|
100% |
1292
241.8 IPS |
|
|
Image Classification (I8)
|
100% |
1103
206.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1414
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1387
23.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1213
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
12150
14.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
12157
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
10533
12.8 IPS |
|
|
Object Detection (F32)
|
100% |
1190
88.8 IPS |
|
|
Object Detection (F16)
|
100% |
1195
89.2 IPS |
|
|
Object Detection (I8)
|
54% |
1058
79.0 IPS |
|
|
Face Detection (F32)
|
100% |
989
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
991
11.8 IPS |
|
|
Face Detection (I8)
|
89% |
899
10.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7503
58.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7535
58.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
6170
47.8 IPS |
|
|
Style Transfer (F32)
|
100% |
37962
49.9 IPS |
|
|
Style Transfer (F16)
|
100% |
38536
50.7 IPS |
|
|
Style Transfer (I8)
|
98% |
27864
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6235
222.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6000
214.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4404
157.3 IPS |
|
|
Text Classification (F32)
|
90% |
816
1.17 KIPS |
|
|
Text Classification (F16)
|
90% |
805
1.16 KIPS |
|
|
Text Classification (I8)
|
90% |
607
872.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1417
26.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1508
27.8 IPS |
|
|
Machine Translation (I8)
|
70% |
833
15.3 IPS |
