ASUSTeK COMPUTER INC. NUC14SRKU9B
Geekbench ML Score
3261
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 08:29 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14SRKU9B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14SRB |
| 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% |
1669
312.4 IPS |
|
|
Image Classification (F16)
|
100% |
1565
292.9 IPS |
|
|
Image Classification (I8)
|
99% |
2887
540.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1363
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1561
26.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2600
43.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6605
8.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
6543
7.92 IPS |
|
|
Pose Estimation (I8)
|
100% |
23564
28.5 IPS |
|
|
Object Detection (F32)
|
100% |
1629
121.6 IPS |
|
|
Object Detection (F16)
|
100% |
1624
121.2 IPS |
|
|
Object Detection (I8)
|
62% |
1517
113.3 IPS |
|
|
Face Detection (F32)
|
100% |
3405
40.5 IPS |
|
|
Face Detection (F16)
|
100% |
3383
40.2 IPS |
|
|
Face Detection (I8)
|
89% |
3683
43.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6825
52.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6987
54.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
12939
100.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15436
20.3 IPS |
|
|
Style Transfer (F16)
|
100% |
15342
20.2 IPS |
|
|
Style Transfer (I8)
|
98% |
18631
24.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2875
102.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2918
104.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4358
155.6 IPS |
|
|
Text Classification (F32)
|
100% |
1119
1.61 KIPS |
|
|
Text Classification (F16)
|
100% |
1147
1.65 KIPS |
|
|
Text Classification (I8)
|
98% |
429
616.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1564
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1581
29.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2567
47.2 IPS |
