ASUSTeK COMPUTER INC. NUC14RVH
Geekbench ML Score
2750
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 26 2024 10:56 PM |
| Views | 3 |
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% |
1306
244.4 IPS |
|
|
Image Classification (F16)
|
100% |
1207
225.9 IPS |
|
|
Image Classification (I8)
|
100% |
1071
200.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1373
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1396
23.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1219
20.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
12330
14.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
12360
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
10575
12.8 IPS |
|
|
Object Detection (F32)
|
100% |
1146
85.6 IPS |
|
|
Object Detection (F16)
|
100% |
1178
88.0 IPS |
|
|
Object Detection (I8)
|
54% |
1063
79.3 IPS |
|
|
Face Detection (F32)
|
100% |
988
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
989
11.8 IPS |
|
|
Face Detection (I8)
|
89% |
894
10.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7502
58.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7524
58.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
6173
47.9 IPS |
|
|
Style Transfer (F32)
|
100% |
38343
50.4 IPS |
|
|
Style Transfer (F16)
|
100% |
37498
49.3 IPS |
|
|
Style Transfer (I8)
|
98% |
28814
37.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7369
263.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5864
209.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4869
173.9 IPS |
|
|
Text Classification (F32)
|
90% |
794
1.14 KIPS |
|
|
Text Classification (F16)
|
90% |
805
1.16 KIPS |
|
|
Text Classification (I8)
|
90% |
553
794.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1485
27.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1457
26.8 IPS |
|
|
Machine Translation (I8)
|
70% |
824
15.2 IPS |
