ASUSTeK COMPUTER INC. NUC14LNK
Geekbench AI Score
2322
Single Precision Score
1242
Half Precision Score
3847
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 04:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14LNK |
| Motherboard | ASUSTeK COMPUTER INC. NUC14LNK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (Q)
|
99% |
2827
527.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
883
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2430
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3202
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2660
3.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
12197
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.1 IPS |
|
|
Object Detection (HP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (Q)
|
88% |
1628
130.5 IPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
1549
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
3963
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4280
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1865
14.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
6646
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8212
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6692
8.60 IPS |
|
|
Style Transfer (Q)
|
98% |
16876
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1407
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3413
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
614
819.8 IPS |
|
|
Text Classification (Q)
|
97% |
1526
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1936
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2249
50.2 IPS |
