ASUSTeK COMPUTER INC. NUC14RVS-B
Geekbench AI Score
3251
Single Precision Score
1266
Half Precision Score
2417
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | August 16 2024 04:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVS-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
0% |
0
796.5 IPS |
|
|
Image Classification (Q)
|
100% |
1129
210.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7156
116.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1355
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14367
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20983
24.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12227
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
0% |
0
350.2 IPS |
|
|
Object Detection (Q)
|
89% |
1177
94.2 IPS |
|
|
Face Detection (SP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
7318
87.0 IPS |
|
|
Face Detection (Q)
|
97% |
1008
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7799
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19698
152.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
6107
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42084
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
62472
80.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30934
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7390
272.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9720
358.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4698
174.0 IPS |
|
|
Text Classification (SP)
|
86% |
839
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
608
811.5 IPS |
|
|
Text Classification (Q)
|
83% |
542
737.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (Q)
|
60% |
640
14.3 IPS |
