ASUSTeK COMPUTER INC. NUC14RVS-B
Geekbench ML Score
4282
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 09 2025 11:43 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVS-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVS |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2400
449.1 IPS |
|
|
Image Classification (F16)
|
100% |
2464
461.0 IPS |
|
|
Image Classification (I8)
|
100% |
1992
372.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
3052
51.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3008
50.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2380
39.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14755
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
14765
17.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
12698
15.4 IPS |
|
|
Object Detection (F32)
|
100% |
2253
168.2 IPS |
|
|
Object Detection (F16)
|
100% |
2266
169.1 IPS |
|
|
Object Detection (I8)
|
54% |
1667
124.5 IPS |
|
|
Face Detection (F32)
|
100% |
4184
49.7 IPS |
|
|
Face Detection (F16)
|
100% |
4211
50.1 IPS |
|
|
Face Detection (I8)
|
89% |
2978
35.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
10637
82.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10915
84.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
8288
64.3 IPS |
|
|
Style Transfer (F32)
|
100% |
46854
61.6 IPS |
|
|
Style Transfer (F16)
|
100% |
45620
60.0 IPS |
|
|
Style Transfer (I8)
|
98% |
31739
41.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8142
290.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7356
262.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4390
156.8 IPS |
|
|
Text Classification (F32)
|
90% |
830
1.19 KIPS |
|
|
Text Classification (F16)
|
90% |
790
1.14 KIPS |
|
|
Text Classification (I8)
|
90% |
584
838.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1982
36.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2042
37.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1055
19.4 IPS |
