ASUSTeK COMPUTER INC. NUC14SRKU9B
Geekbench AI Score
17082
Single Precision Score
26716
Half Precision Score
13106
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | wataru256 |
| Upload Date | August 24 2024 06:02 PM |
| Views | 4 |
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. 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% |
6677
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
10231
1.91 KIPS |
|
|
Image Classification (Q)
|
100% |
5959
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11457
185.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14399
233.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10516
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
110842
129.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
277098
323.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
95806
112.2 IPS |
|
|
Object Detection (SP)
|
100% |
7992
633.9 IPS |
|
|
Object Detection (HP)
|
100% |
12723
1.01 KIPS |
|
|
Object Detection (Q)
|
88% |
7140
572.6 IPS |
|
|
Face Detection (SP)
|
100% |
18014
214.0 IPS |
|
|
Face Detection (HP)
|
100% |
27477
326.5 IPS |
|
|
Face Detection (Q)
|
97% |
15128
180.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
40303
310.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
74715
575.6 IPS |
|
|
Depth Estimation (Q)
|
72% |
31371
259.2 IPS |
|
|
Style Transfer (SP)
|
100% |
163420
210.1 IPS |
|
|
Style Transfer (HP)
|
100% |
391277
503.0 IPS |
|
|
Style Transfer (Q)
|
98% |
146548
189.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31221
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42213
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22656
838.9 IPS |
|
|
Text Classification (SP)
|
100% |
2748
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
3358
4.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1657
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3133
54.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1336
29.8 IPS |
