ASUSTeK COMPUTER INC. NUC14RVH
Geekbench ML Score
2876
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 06:41 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% |
1408
263.4 IPS |
|
|
Image Classification (F16)
|
100% |
1420
265.7 IPS |
|
|
Image Classification (I8)
|
99% |
2524
472.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1243
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1280
21.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2259
37.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4935
5.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
4908
5.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
20087
24.3 IPS |
|
|
Object Detection (F32)
|
100% |
1413
105.5 IPS |
|
|
Object Detection (F16)
|
100% |
1516
113.2 IPS |
|
|
Object Detection (I8)
|
62% |
1344
100.3 IPS |
|
|
Face Detection (F32)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (F16)
|
100% |
3286
39.1 IPS |
|
|
Face Detection (I8)
|
89% |
3620
43.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5749
44.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5586
43.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
11243
87.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13263
17.4 IPS |
|
|
Style Transfer (F16)
|
100% |
12893
17.0 IPS |
|
|
Style Transfer (I8)
|
98% |
17897
23.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2510
89.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2380
85.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3818
136.4 IPS |
|
|
Text Classification (F32)
|
100% |
959
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
939
1.35 KIPS |
|
|
Text Classification (I8)
|
98% |
405
582.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1569
28.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1617
29.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2507
46.1 IPS |
