ASUSTeK COMPUTER INC. NUC14RVH
Geekbench ML Score
2879
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 26 2024 10:51 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% |
1412
264.3 IPS |
|
|
Image Classification (F16)
|
100% |
1431
267.8 IPS |
|
|
Image Classification (I8)
|
99% |
2529
473.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1296
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1212
20.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2220
37.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5077
6.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
5113
6.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
19709
23.9 IPS |
|
|
Object Detection (F32)
|
100% |
1438
107.3 IPS |
|
|
Object Detection (F16)
|
100% |
1432
106.9 IPS |
|
|
Object Detection (I8)
|
62% |
1339
100.0 IPS |
|
|
Face Detection (F32)
|
100% |
3311
39.4 IPS |
|
|
Face Detection (F16)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (I8)
|
89% |
3573
42.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5577
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5593
43.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
11589
89.9 IPS |
|
|
Style Transfer (F32)
|
100% |
13313
17.5 IPS |
|
|
Style Transfer (F16)
|
100% |
13005
17.1 IPS |
|
|
Style Transfer (I8)
|
98% |
17529
23.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2461
87.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2518
89.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3730
133.2 IPS |
|
|
Text Classification (F32)
|
100% |
973
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
947
1.36 KIPS |
|
|
Text Classification (I8)
|
98% |
411
591.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1574
29.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1607
29.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2487
45.8 IPS |
