ASUSTeK COMPUTER INC. NUC14RVH-B
Geekbench AI Score
2970
Single Precision Score
2943
Half Precision Score
7111
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoshuaChung |
| Upload Date | March 19 2025 03:14 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
1369
254.5 IPS |
|
|
Image Classification (Q)
|
100% |
4571
850.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4700
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4539
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3934
4.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
15694
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (Q)
|
88% |
4165
333.8 IPS |
|
|
Face Detection (SP)
|
100% |
4961
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
4998
59.4 IPS |
|
|
Face Detection (Q)
|
100% |
9539
113.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4639
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4592
35.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11800
91.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12316
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12808
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
46793
60.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2311
85.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7493
277.5 IPS |
|
|
Text Classification (SP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1734
2.31 KIPS |
|
|
Text Classification (Q)
|
92% |
3238
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1844
31.8 IPS |
