ASUSTeK COMPUTER INC. NUC14RVK-B
Geekbench ML Score
2752
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:07 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVK-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 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% |
1371
256.5 IPS |
|
|
Image Classification (F16)
|
100% |
1406
263.0 IPS |
|
|
Image Classification (I8)
|
99% |
2588
484.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1319
22.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1275
21.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2091
34.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4578
5.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
4598
5.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
16416
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1419
106.0 IPS |
|
|
Object Detection (F16)
|
100% |
1432
106.9 IPS |
|
|
Object Detection (I8)
|
62% |
1362
101.7 IPS |
|
|
Face Detection (F32)
|
100% |
3176
37.8 IPS |
|
|
Face Detection (F16)
|
100% |
3209
38.2 IPS |
|
|
Face Detection (I8)
|
89% |
3539
42.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5167
40.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5267
40.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
11141
86.4 IPS |
|
|
Style Transfer (F32)
|
100% |
11361
14.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11268
14.8 IPS |
|
|
Style Transfer (I8)
|
98% |
17480
23.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2338
83.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2365
84.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3905
139.5 IPS |
|
|
Text Classification (F32)
|
100% |
1007
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
984
1.41 KIPS |
|
|
Text Classification (I8)
|
98% |
390
560.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1398
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1421
26.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2287
42.1 IPS |
