ASUSTeK COMPUTER INC. NUC14RVS-B
Geekbench AI Score
8187
Single Precision Score
12652
Half Precision Score
19271
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sauria |
| Upload Date | September 10 2024 04:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5518
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
8271
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
9841
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4469
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10988
178.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16432
266.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23537
27.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
23289
27.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
79080
92.6 IPS |
|
|
Object Detection (SP)
|
100% |
5095
404.1 IPS |
|
|
Object Detection (HP)
|
100% |
8479
672.5 IPS |
|
|
Object Detection (Q)
|
88% |
11820
947.2 IPS |
|
|
Face Detection (SP)
|
100% |
9209
109.4 IPS |
|
|
Face Detection (HP)
|
100% |
18286
217.3 IPS |
|
|
Face Detection (Q)
|
100% |
31168
370.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19607
151.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
33720
260.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
40380
313.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55899
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
74657
96.0 IPS |
|
|
Style Transfer (Q)
|
98% |
177595
229.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9155
338.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15724
580.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24306
900.1 IPS |
|
|
Text Classification (SP)
|
71% |
1932
2.79 KIPS |
|
|
Text Classification (HP)
|
71% |
2513
3.63 KIPS |
|
|
Text Classification (Q)
|
92% |
2710
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2563
44.2 IPS |
|
|
Machine Translation (HP)
|
96% |
3220
55.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3175
54.7 IPS |
