ASUSTeK COMPUTER INC. NUC14RVS
Geekbench ML Score
3312
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 11:22 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVS |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVS |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1735
324.6 IPS |
|
|
Image Classification (F16)
|
100% |
1580
295.7 IPS |
|
|
Image Classification (I8)
|
99% |
2872
537.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1528
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1506
25.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2506
41.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5881
7.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
5869
7.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
21900
26.5 IPS |
|
|
Object Detection (F32)
|
100% |
1515
113.1 IPS |
|
|
Object Detection (F16)
|
100% |
1666
124.4 IPS |
|
|
Object Detection (I8)
|
62% |
1567
117.0 IPS |
|
|
Face Detection (F32)
|
100% |
3691
43.9 IPS |
|
|
Face Detection (F16)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (I8)
|
89% |
3917
46.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6754
52.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6837
53.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
13541
105.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15024
19.8 IPS |
|
|
Style Transfer (F16)
|
100% |
15617
20.5 IPS |
|
|
Style Transfer (I8)
|
98% |
20167
26.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2779
99.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2957
105.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4227
151.0 IPS |
|
|
Text Classification (F32)
|
100% |
1182
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1148
1.65 KIPS |
|
|
Text Classification (I8)
|
98% |
467
670.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1763
32.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1727
31.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2882
53.0 IPS |
