ASUSTeK COMPUTER INC. NUC14RVH
Geekbench ML Score
2869
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 26 2024 10:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVH |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1387
259.5 IPS |
|
|
Image Classification (F16)
|
100% |
1398
261.6 IPS |
|
|
Image Classification (I8)
|
99% |
2609
488.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1318
22.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1290
21.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2285
38.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4838
5.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
4937
5.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
19079
23.1 IPS |
|
|
Object Detection (F32)
|
100% |
1407
105.0 IPS |
|
|
Object Detection (F16)
|
100% |
1477
110.3 IPS |
|
|
Object Detection (I8)
|
62% |
1296
96.8 IPS |
|
|
Face Detection (F32)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (F16)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (I8)
|
89% |
3530
42.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5600
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5638
43.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
11322
87.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13357
17.6 IPS |
|
|
Style Transfer (F16)
|
100% |
13146
17.3 IPS |
|
|
Style Transfer (I8)
|
98% |
17531
23.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2474
88.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2475
88.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3636
129.8 IPS |
|
|
Text Classification (F32)
|
100% |
962
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
958
1.38 KIPS |
|
|
Text Classification (I8)
|
98% |
413
594.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1612
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1605
29.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2450
45.1 IPS |
