ASUSTeK COMPUTER INC. NUC14SRKU9B
Geekbench AI Score
3055
Single Precision Score
743
Half Precision Score
3834
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | wataru256 |
| Upload Date | August 23 2024 11:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14SRKU9B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14SRB |
| Power Plan | Turbo |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1805
335.6 IPS |
|
|
Image Classification (HP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (Q)
|
99% |
3444
642.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
227
3.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
2530
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6165
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4139
4.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
23002
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (Q)
|
88% |
1819
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (Q)
|
97% |
3565
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6731
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
913
7.04 IPS |
|
|
Depth Estimation (Q)
|
76% |
7741
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14667
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10418
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17710
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2717
100.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3925
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
1512
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
597
797.3 IPS |
|
|
Text Classification (Q)
|
97% |
494
662.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1745
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1987
44.3 IPS |
