ASUSTeK COMPUTER INC. NUC14RVH-B
Geekbench AI Score
3062
Single Precision Score
1144
Half Precision Score
5428
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoshuaChung |
| Upload Date | March 19 2025 03:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| 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% |
2430
451.9 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.6 IPS |
|
|
Image Classification (Q)
|
99% |
4849
904.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2829
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5243
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2983
3.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
17230
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (HP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (Q)
|
86% |
5033
404.5 IPS |
|
|
Face Detection (SP)
|
100% |
6314
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
7436
88.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6631
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1608
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12329
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11971
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7866
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17661
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2048
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1481
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2989
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
1198
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
593
791.7 IPS |
|
|
Text Classification (Q)
|
97% |
1485
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1662
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2600
52.2 IPS |
