ASUSTeK COMPUTER INC. NUC14RVH
Geekbench AI Score
7340
Single Precision Score
10896
Half Precision Score
16742
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 08:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVH |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5248
976.0 IPS |
|
|
Image Classification (HP)
|
100% |
6992
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
8846
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4083
66.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9569
155.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13733
222.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21174
24.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
18463
21.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
59961
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
4833
383.3 IPS |
|
|
Object Detection (HP)
|
100% |
7240
574.3 IPS |
|
|
Object Detection (Q)
|
88% |
10911
874.4 IPS |
|
|
Face Detection (SP)
|
100% |
7704
91.5 IPS |
|
|
Face Detection (HP)
|
100% |
14969
177.9 IPS |
|
|
Face Detection (Q)
|
100% |
27039
321.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17398
134.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
29153
225.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
36826
286.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49598
63.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67252
86.5 IPS |
|
|
Style Transfer (Q)
|
98% |
141448
182.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8507
314.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13611
502.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20768
769.1 IPS |
|
|
Text Classification (SP)
|
71% |
1680
2.43 KIPS |
|
|
Text Classification (HP)
|
71% |
2327
3.37 KIPS |
|
|
Text Classification (Q)
|
92% |
2581
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2179
37.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2839
49.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2885
49.7 IPS |
