ASUSTeK COMPUTER INC. NUC14RVS-B
Geekbench ML Score
3349
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 09 2025 11:40 PM |
| Views | 4 |
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% |
1516
283.7 IPS |
|
|
Image Classification (F16)
|
100% |
1582
296.1 IPS |
|
|
Image Classification (I8)
|
99% |
2699
505.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1523
25.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1505
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2676
44.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5944
7.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
5751
6.96 IPS |
|
|
Pose Estimation (I8)
|
100% |
21196
25.7 IPS |
|
|
Object Detection (F32)
|
100% |
1574
117.5 IPS |
|
|
Object Detection (F16)
|
100% |
1641
122.5 IPS |
|
|
Object Detection (I8)
|
62% |
1527
114.0 IPS |
|
|
Face Detection (F32)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (F16)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (I8)
|
89% |
4153
49.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6622
51.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7040
54.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
12788
99.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13487
17.7 IPS |
|
|
Style Transfer (F16)
|
100% |
14878
19.6 IPS |
|
|
Style Transfer (I8)
|
98% |
20912
27.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2724
97.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2648
94.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4083
145.8 IPS |
|
|
Text Classification (F32)
|
100% |
1101
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1109
1.59 KIPS |
|
|
Text Classification (I8)
|
98% |
1017
1.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
1753
32.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1754
32.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2916
53.7 IPS |
