ASUSTeK COMPUTER INC. NUC14RVH-B
Geekbench AI Score
7936
Single Precision Score
12439
Half Precision Score
18701
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoshuaChung |
| Upload Date | March 19 2025 03:19 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVH-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVB |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5527
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
8151
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
10085
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4557
73.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11874
192.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18572
301.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22641
26.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
20984
24.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
70731
82.8 IPS |
|
|
Object Detection (SP)
|
100% |
5238
415.5 IPS |
|
|
Object Detection (HP)
|
100% |
8826
700.1 IPS |
|
|
Object Detection (Q)
|
88% |
12620
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
8863
105.3 IPS |
|
|
Face Detection (HP)
|
100% |
17558
208.6 IPS |
|
|
Face Detection (Q)
|
100% |
28784
342.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19045
146.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
33098
255.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
38421
298.6 IPS |
|
|
Style Transfer (SP)
|
100% |
54079
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
68037
87.5 IPS |
|
|
Style Transfer (Q)
|
98% |
149851
193.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8995
332.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15202
561.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22103
818.6 IPS |
|
|
Text Classification (SP)
|
71% |
1553
2.25 KIPS |
|
|
Text Classification (HP)
|
71% |
2407
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
2502
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2602
44.8 IPS |
|
|
Machine Translation (HP)
|
96% |
3421
59.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3416
58.8 IPS |
