ASUSTeK COMPUTER INC. NUC14SRKU9B
Geekbench AI Score
17025
Single Precision Score
27038
Half Precision Score
13181
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | wataru256 |
| Upload Date | August 14 2024 03:00 AM |
| 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% |
6725
1.25 KIPS |
|
|
Image Classification (HP)
|
99% |
10400
1.94 KIPS |
|
|
Image Classification (Q)
|
100% |
6040
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11546
187.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14678
237.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10429
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
112871
131.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
277181
323.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
95889
112.3 IPS |
|
|
Object Detection (SP)
|
100% |
7845
622.2 IPS |
|
|
Object Detection (HP)
|
100% |
12699
1.01 KIPS |
|
|
Object Detection (Q)
|
88% |
7014
562.5 IPS |
|
|
Face Detection (SP)
|
100% |
17256
205.0 IPS |
|
|
Face Detection (HP)
|
100% |
27617
328.1 IPS |
|
|
Face Detection (Q)
|
97% |
14937
178.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
39112
301.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
73760
568.3 IPS |
|
|
Depth Estimation (Q)
|
72% |
31366
259.2 IPS |
|
|
Style Transfer (SP)
|
100% |
161918
208.1 IPS |
|
|
Style Transfer (HP)
|
100% |
389750
501.0 IPS |
|
|
Style Transfer (Q)
|
98% |
148706
191.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31605
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43152
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23074
854.4 IPS |
|
|
Text Classification (SP)
|
100% |
2805
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3505
4.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1722
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3237
55.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1350
30.1 IPS |
