ASUSTeK COMPUTER INC. NUC14SRK
Geekbench AI Score
19769
Single Precision Score
31506
Half Precision Score
15519
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | knowledgehub |
| Upload Date | April 12 2025 08:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14SRK |
| Motherboard | ASUSTeK COMPUTER INC. NUC14SRB |
| Power Plan | Performance |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7635
1.42 KIPS |
|
|
Image Classification (HP)
|
99% |
12183
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
7056
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14190
230.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18549
300.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12949
210.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
114676
133.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
312974
365.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
103009
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
9069
719.4 IPS |
|
|
Object Detection (HP)
|
100% |
14856
1.18 KIPS |
|
|
Object Detection (Q)
|
85% |
8081
650.5 IPS |
|
|
Face Detection (SP)
|
100% |
23641
280.9 IPS |
|
|
Face Detection (HP)
|
100% |
37158
441.5 IPS |
|
|
Face Detection (Q)
|
97% |
20802
248.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
49017
377.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84461
650.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
39810
318.2 IPS |
|
|
Style Transfer (SP)
|
100% |
180590
232.2 IPS |
|
|
Style Transfer (HP)
|
100% |
424701
546.0 IPS |
|
|
Style Transfer (Q)
|
98% |
163099
210.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34111
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47837
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24535
908.5 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3455
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1698
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3891
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4164
72.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1894
35.5 IPS |
