ASUSTeK COMPUTER INC. NUC14RVH-B
Geekbench AI Score
21032
Single Precision Score
25058
Half Precision Score
17605
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoshuaChung |
| Upload Date | March 19 2025 03:02 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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% |
7121
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
8106
1.51 KIPS |
|
|
Image Classification (Q)
|
100% |
6525
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9255
150.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10019
162.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8906
144.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
238879
278.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
343179
400.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
214118
250.9 IPS |
|
|
Object Detection (SP)
|
100% |
8919
707.5 IPS |
|
|
Object Detection (HP)
|
100% |
9972
791.0 IPS |
|
|
Object Detection (Q)
|
86% |
8154
655.1 IPS |
|
|
Face Detection (SP)
|
100% |
21378
254.0 IPS |
|
|
Face Detection (HP)
|
100% |
23377
277.8 IPS |
|
|
Face Detection (Q)
|
97% |
19939
237.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
70603
544.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97766
753.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
55315
442.4 IPS |
|
|
Style Transfer (SP)
|
100% |
381375
490.3 IPS |
|
|
Style Transfer (HP)
|
100% |
560042
719.9 IPS |
|
|
Style Transfer (Q)
|
98% |
339283
437.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38009
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44384
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30918
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
2590
3.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1562
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2406
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2387
41.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1560
29.3 IPS |
