ASUSTeK COMPUTER INC. NUC14RVS-B
Geekbench ML Score
3234
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2025 01:08 AM |
| Views | 6 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1580
295.6 IPS |
|
|
Image Classification (F16)
|
100% |
1556
291.1 IPS |
|
|
Image Classification (I8)
|
99% |
2756
515.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1421
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1528
25.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2594
43.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5350
6.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
5793
7.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
22365
27.1 IPS |
|
|
Object Detection (F32)
|
100% |
1520
113.5 IPS |
|
|
Object Detection (F16)
|
100% |
1500
112.0 IPS |
|
|
Object Detection (I8)
|
62% |
1459
108.9 IPS |
|
|
Face Detection (F32)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (F16)
|
100% |
3588
42.7 IPS |
|
|
Face Detection (I8)
|
89% |
4164
49.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6608
51.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6005
46.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
12504
97.0 IPS |
|
|
Style Transfer (F32)
|
100% |
13705
18.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13812
18.2 IPS |
|
|
Style Transfer (I8)
|
98% |
21100
27.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2334
83.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2461
87.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4177
149.2 IPS |
|
|
Text Classification (F32)
|
100% |
1140
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
1056
1.52 KIPS |
|
|
Text Classification (I8)
|
98% |
1044
1.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
1588
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1520
28.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2772
51.0 IPS |
