ASUSTeK COMPUTER INC. NUC14RVS-B
Geekbench ML Score
15409
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 09 2025 11:45 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 | NVIDIA GeForce RTX 4070 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6699
1.25 KIPS |
|
|
Image Classification (F16)
|
100% |
6693
1.25 KIPS |
|
|
Image Classification (I8)
|
100% |
6057
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8068
134.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
8374
139.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
7857
131.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
134755
163.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
134339
162.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
121685
147.4 IPS |
|
|
Object Detection (F32)
|
100% |
4859
362.8 IPS |
|
|
Object Detection (F16)
|
100% |
5255
392.3 IPS |
|
|
Object Detection (I8)
|
63% |
4881
364.4 IPS |
|
|
Face Detection (F32)
|
100% |
19031
226.3 IPS |
|
|
Face Detection (F16)
|
100% |
19142
227.6 IPS |
|
|
Face Detection (I8)
|
89% |
17200
204.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
52118
404.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
52550
407.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
43405
336.6 IPS |
|
|
Style Transfer (F32)
|
100% |
216177
284.4 IPS |
|
|
Style Transfer (F16)
|
100% |
223751
294.3 IPS |
|
|
Style Transfer (I8)
|
98% |
198551
261.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32623
1.17 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32541
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
24118
861.3 IPS |
|
|
Text Classification (F32)
|
100% |
2153
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
2185
3.14 KIPS |
|
|
Text Classification (I8)
|
98% |
1408
2.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
2342
43.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2365
43.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1619
29.8 IPS |
